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    <title>Slideshows for Tag: eda</title>
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    <pubDate>Wed, 11 Jul 2007 17:11:53 GMT</pubDate>
    <description>SlideShare feed for Slideshows for Tag: eda</description>
    <item>
      <title>Reflections of a Keen Modeler</title>
      <link>http://www.slideshare.net/deg511/reflections-of-a-keen-modeler</link>
      <description>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/reflections-of-a-keen-modeler4353-thumbnail-2?1184173913" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/deg511">deg511</a> 1 year ago</p><p>OBUPM-2007 presentation by David E. Goldberg</p><p>Tags: <a href="/tag/little-models" style="" title="" class="" target="" id="" >little-models</a> <a href="/tag/creative-modeling" style="" title="" class="" target="" id="" >creative-modeling</a> <a href="/tag/qual-quant" style="" title="" class="" target="" id="" >qual-quant</a> <a href="/tag/gap" style="" title="" class="" target="" id="" >gap</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> </p></div>]]>
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        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/reflections-of-a-keen-modeler4353-thumbnail-2?1184173913" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/deg511">deg511</a> 1 year ago</p><p>OBUPM-2007 presentation by David E. Goldberg</p><p>Tags: <a href="/tag/little-models" style="" title="" class="" target="" id="" >little-models</a> <a href="/tag/creative-modeling" style="" title="" class="" target="" id="" >creative-modeling</a> <a href="/tag/qual-quant" style="" title="" class="" target="" id="" >qual-quant</a> <a href="/tag/gap" style="" title="" class="" target="" id="" >gap</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> </p></div>]]>
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      <pubDate>Wed, 11 Jul 2007 17:11:53 GMT</pubDate>
      <guid>http://www.slideshare.net/deg511/reflections-of-a-keen-modeler</guid>
      <author>deg511@slideshare.net(deg511)</author>
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        <media:title>Reflections of a Keen Modeler</media:title>
        <media:credit>deg511</media:credit>
        <media:description type="plain">OBUPM-2007 presentation by David E. Goldberg</media:description>
        <media:text type="html">&lt;div class='snap_preview'&gt;&lt;img src="http://cdn.slideshare.net/reflections-of-a-keen-modeler4353-thumbnail-2?1184173913" alt ="" style="border:1px solid #C3E6D8;float:right;" /&gt; &lt;p&gt;from: &lt;a href="http://www.slideshare.net/deg511"&gt;deg511&lt;/a&gt; 1 year ago&lt;/p&gt;&lt;p&gt;OBUPM-2007 presentation by David E. Goldberg&lt;/p&gt;&lt;p&gt;Tags: &lt;a href="/tag/little-models" style="" title="" class="" target="" id="" &gt;little-models&lt;/a&gt; &lt;a href="/tag/creative-modeling" style="" title="" class="" target="" id="" &gt;creative-modeling&lt;/a&gt; &lt;a href="/tag/qual-quant" style="" title="" class="" target="" id="" &gt;qual-quant&lt;/a&gt; &lt;a href="/tag/gap" style="" title="" class="" target="" id="" &gt;gap&lt;/a&gt; &lt;a href="/tag/eda" style="" title="" class="" target="" id="" &gt;eda&lt;/a&gt; &lt;/p&gt;&lt;/div&gt;</media:text>
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        <![CDATA[<div style="width:425px;text-align:left" id="__ss_76609"><a style="font:14px Helvetica,Arial,Sans-serif;display:block;margin:12px 0 3px 0;text-decoration:underline;" href="http://www.slideshare.net/deg511/reflections-of-a-keen-modeler?src=embed" title="Reflections of a Keen Modeler">Reflections of a Keen Modeler</a><object style="margin:0px" width="425" height="355"><param name="movie" value="http://static.slideshare.net/swf/ssplayer2.swf?doc=reflections-of-a-keen-modeler4353"/><param name="allowFullScreen" value="true"/><param name="allowScriptAccess" value="always"/><embed src="http://static.slideshare.net/swf/ssplayer2.swf?doc=reflections-of-a-keen-modeler4353" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="355"></embed></object><div style="font-size:11px;font-family:tahoma,arial;height:26px;padding-top:2px;">view <a href="http://www.slideshare.net/deg511/reflections-of-a-keen-modeler?src=embed" title="View Reflections of a Keen Modeler on SlideShare">presentation</a> (tags: <a style="text-decoration:underline;" href="http://slideshare.net/tag/little-models">little-models</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/creative-modeling">creative-modeling</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/qual-quant">qual-quant</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/gap">gap</a>)</div></div>]]>
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        <slideshare:views>480</slideshare:views>
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    <item>
      <title>Genetic Algorithms and Genetic Programming for Multiscale Modeling</title>
      <link>http://www.slideshare.net/kknsastry/genetic-algorithms-and-genetic-programming-for-multiscale-modeling</link>
      <description>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/genetic-algorithms-and-genetic-programming-for-multiscale-modeling2802-thumbnail-2?1189650039" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/kknsastry">kknsastry</a> 10 months ago</p><p>Effective and efficient multiscale modeling is essential to advance both the science and synthesis in a wide array of fields such as physics, chemistry, materials science, biology, biotechnology and pharmacology. This study investigates the efficacy and potential of using genetic algorithms for multiscale materials modeling and
addresses some of the challenges involved in designing competent algorithms that solve hard problems quickly, reliably
and accurately.</p><p>Tags: <a href="/tag/genetic-algorithms" style="" title="" class="" target="" id="" >genetic-algorithms</a> <a href="/tag/genetic-programming" style="" title="" class="" target="" id="" >genetic-programming</a> <a href="/tag/multiscale-modeling" style="" title="" class="" target="" id="" >multiscale-modeling</a> <a href="/tag/materials-science" style="" title="" class="" target="" id="" >materials-science</a> <a href="/tag/quantum-chemistry" style="" title="" class="" target="" id="" >quantum-chemistry</a> </p></div>]]>
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        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/genetic-algorithms-and-genetic-programming-for-multiscale-modeling2802-thumbnail-2?1189650039" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/kknsastry">kknsastry</a> 10 months ago</p><p>Effective and efficient multiscale modeling is essential to advance both the science and synthesis in a wide array of fields such as physics, chemistry, materials science, biology, biotechnology and pharmacology. This study investigates the efficacy and potential of using genetic algorithms for multiscale materials modeling and
addresses some of the challenges involved in designing competent algorithms that solve hard problems quickly, reliably
and accurately.</p><p>Tags: <a href="/tag/genetic-algorithms" style="" title="" class="" target="" id="" >genetic-algorithms</a> <a href="/tag/genetic-programming" style="" title="" class="" target="" id="" >genetic-programming</a> <a href="/tag/multiscale-modeling" style="" title="" class="" target="" id="" >multiscale-modeling</a> <a href="/tag/materials-science" style="" title="" class="" target="" id="" >materials-science</a> <a href="/tag/quantum-chemistry" style="" title="" class="" target="" id="" >quantum-chemistry</a> </p></div>]]>
      </content:encoded>
      <pubDate>Thu, 13 Sep 2007 02:20:39 GMT</pubDate>
      <guid>http://www.slideshare.net/kknsastry/genetic-algorithms-and-genetic-programming-for-multiscale-modeling</guid>
      <author>kknsastry@slideshare.net(kknsastry)</author>
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        <media:player url="http://www.slideshare.net/kknsastry/genetic-algorithms-and-genetic-programming-for-multiscale-modeling"/>
        <media:title>Genetic Algorithms and Genetic Programming for Multiscale Modeling</media:title>
        <media:credit>kknsastry</media:credit>
        <media:description type="plain">Effective and efficient multiscale modeling is essential to advance both the science and synthesis in a wide array of fields such as physics, chemistry, materials science, biology, biotechnology and pharmacology. This study investigates the efficacy and potential of using genetic algorithms for multiscale materials modeling and
addresses some of the challenges involved in designing competent algorithms that solve hard problems quickly, reliably
and accurately.</media:description>
        <media:text type="html">&lt;div class='snap_preview'&gt;&lt;img src="http://cdn.slideshare.net/genetic-algorithms-and-genetic-programming-for-multiscale-modeling2802-thumbnail-2?1189650039" alt ="" style="border:1px solid #C3E6D8;float:right;" /&gt; &lt;p&gt;from: &lt;a href="http://www.slideshare.net/kknsastry"&gt;kknsastry&lt;/a&gt; 10 months ago&lt;/p&gt;&lt;p&gt;Effective and efficient multiscale modeling is essential to advance both the science and synthesis in a wide array of fields such as physics, chemistry, materials science, biology, biotechnology and pharmacology. This study investigates the efficacy and potential of using genetic algorithms for multiscale materials modeling and
addresses some of the challenges involved in designing competent algorithms that solve hard problems quickly, reliably
and accurately.&lt;/p&gt;&lt;p&gt;Tags: &lt;a href="/tag/genetic-algorithms" style="" title="" class="" target="" id="" &gt;genetic-algorithms&lt;/a&gt; &lt;a href="/tag/genetic-programming" style="" title="" class="" target="" id="" &gt;genetic-programming&lt;/a&gt; &lt;a href="/tag/multiscale-modeling" style="" title="" class="" target="" id="" &gt;multiscale-modeling&lt;/a&gt; &lt;a href="/tag/materials-science" style="" title="" class="" target="" id="" &gt;materials-science&lt;/a&gt; &lt;a href="/tag/quantum-chemistry" style="" title="" class="" target="" id="" &gt;quantum-chemistry&lt;/a&gt; &lt;/p&gt;&lt;/div&gt;</media:text>
        <media:keywords>genetic-algorithms,genetic-programming,multiscale-modeling,materials-science,quantum-chemistry,</media:keywords>
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        <![CDATA[<div style="width:425px;text-align:left" id="__ss_108742"><a style="font:14px Helvetica,Arial,Sans-serif;display:block;margin:12px 0 3px 0;text-decoration:underline;" href="http://www.slideshare.net/kknsastry/genetic-algorithms-and-genetic-programming-for-multiscale-modeling?src=embed" title="Genetic Algorithms and Genetic Programming for Multiscale Modeling">Genetic Algorithms and Genetic Programming for Multiscale Modeling</a><object style="margin:0px" width="425" height="355"><param name="movie" value="http://static.slideshare.net/swf/ssplayer2.swf?doc=genetic-algorithms-and-genetic-programming-for-multiscale-modeling2802"/><param name="allowFullScreen" value="true"/><param name="allowScriptAccess" value="always"/><embed src="http://static.slideshare.net/swf/ssplayer2.swf?doc=genetic-algorithms-and-genetic-programming-for-multiscale-modeling2802" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="355"></embed></object><div style="font-size:11px;font-family:tahoma,arial;height:26px;padding-top:2px;">view <a href="http://www.slideshare.net/kknsastry/genetic-algorithms-and-genetic-programming-for-multiscale-modeling?src=embed" title="View Genetic Algorithms and Genetic Programming for Multiscale Modeling on SlideShare">presentation</a> (tags: <a style="text-decoration:underline;" href="http://slideshare.net/tag/genetic-algorithms">genetic-algorithms</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/genetic-programming">genetic-programming</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/multiscale-modeling">multiscale-modeling</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/materials-science">materials-science</a>)</div></div>]]>
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        <slideshare:views>890</slideshare:views>
        <slideshare:comments>0</slideshare:comments>
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    </item>
    <item>
      <title>The Bayesian Optimization Algorithm with Substructural Local Search</title>
      <link>http://www.slideshare.net/pelikan/the-bayesian-optimization-algorithm-with-substructural-local-search</link>
      <description>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/the-bayesian-optimization-algorithm-with-substructural-local-search4950-thumbnail-2?1190178383" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/pelikan">pelikan</a> 10 months ago</p><p>This work studies the utility of using substructural neighborhoods for local search in the Bayesian optimization algorithm (BOA). The probabilistic model of BOA, which automatically identifies important problem substructures, is used to define the structure of the neighborhoods used in local search. Additionally, a surrogate fitness model is considered to evaluate the improvement of the local search steps. The results show that performing substructural local search in BOA significatively reduces the number of generations necessary to converge to optimal solutions and thus provides substantial speedups.</p><p>Tags: <a href="/tag/local-search" style="" title="" class="" target="" id="" >local-search</a> <a href="/tag/hybridization" style="" title="" class="" target="" id="" >hybridization</a> <a href="/tag/efficiency-enhancement" style="" title="" class="" target="" id="" >efficiency-enhancement</a> <a href="/tag/boa" style="" title="" class="" target="" id="" >boa</a> <a href="/tag/bayesian-optimization-algorithm" style="" title="" class="" target="" id="" >bayesian-optimization-al...</a> </p></div>]]>
      </description>
      <content:encoded>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/the-bayesian-optimization-algorithm-with-substructural-local-search4950-thumbnail-2?1190178383" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/pelikan">pelikan</a> 10 months ago</p><p>This work studies the utility of using substructural neighborhoods for local search in the Bayesian optimization algorithm (BOA). The probabilistic model of BOA, which automatically identifies important problem substructures, is used to define the structure of the neighborhoods used in local search. Additionally, a surrogate fitness model is considered to evaluate the improvement of the local search steps. The results show that performing substructural local search in BOA significatively reduces the number of generations necessary to converge to optimal solutions and thus provides substantial speedups.</p><p>Tags: <a href="/tag/local-search" style="" title="" class="" target="" id="" >local-search</a> <a href="/tag/hybridization" style="" title="" class="" target="" id="" >hybridization</a> <a href="/tag/efficiency-enhancement" style="" title="" class="" target="" id="" >efficiency-enhancement</a> <a href="/tag/boa" style="" title="" class="" target="" id="" >boa</a> <a href="/tag/bayesian-optimization-algorithm" style="" title="" class="" target="" id="" >bayesian-optimization-al...</a> </p></div>]]>
      </content:encoded>
      <pubDate>Wed, 19 Sep 2007 05:06:23 GMT</pubDate>
      <guid>http://www.slideshare.net/pelikan/the-bayesian-optimization-algorithm-with-substructural-local-search</guid>
      <author>pelikan@slideshare.net(pelikan)</author>
      <media:group>
        <media:player url="http://www.slideshare.net/pelikan/the-bayesian-optimization-algorithm-with-substructural-local-search"/>
        <media:title>The Bayesian Optimization Algorithm with Substructural Local Search</media:title>
        <media:credit>pelikan</media:credit>
        <media:description type="plain">This work studies the utility of using substructural neighborhoods for local search in the Bayesian optimization algorithm (BOA). The probabilistic model of BOA, which automatically identifies important problem substructures, is used to define the structure of the neighborhoods used in local search. Additionally, a surrogate fitness model is considered to evaluate the improvement of the local search steps. The results show that performing substructural local search in BOA significatively reduces the number of generations necessary to converge to optimal solutions and thus provides substantial speedups.</media:description>
        <media:text type="html">&lt;div class='snap_preview'&gt;&lt;img src="http://cdn.slideshare.net/the-bayesian-optimization-algorithm-with-substructural-local-search4950-thumbnail-2?1190178383" alt ="" style="border:1px solid #C3E6D8;float:right;" /&gt; &lt;p&gt;from: &lt;a href="http://www.slideshare.net/pelikan"&gt;pelikan&lt;/a&gt; 10 months ago&lt;/p&gt;&lt;p&gt;This work studies the utility of using substructural neighborhoods for local search in the Bayesian optimization algorithm (BOA). The probabilistic model of BOA, which automatically identifies important problem substructures, is used to define the structure of the neighborhoods used in local search. Additionally, a surrogate fitness model is considered to evaluate the improvement of the local search steps. The results show that performing substructural local search in BOA significatively reduces the number of generations necessary to converge to optimal solutions and thus provides substantial speedups.&lt;/p&gt;&lt;p&gt;Tags: &lt;a href="/tag/local-search" style="" title="" class="" target="" id="" &gt;local-search&lt;/a&gt; &lt;a href="/tag/hybridization" style="" title="" class="" target="" id="" &gt;hybridization&lt;/a&gt; &lt;a href="/tag/efficiency-enhancement" style="" title="" class="" target="" id="" &gt;efficiency-enhancement&lt;/a&gt; &lt;a href="/tag/boa" style="" title="" class="" target="" id="" &gt;boa&lt;/a&gt; &lt;a href="/tag/bayesian-optimization-algorithm" style="" title="" class="" target="" id="" &gt;bayesian-optimization-al...&lt;/a&gt; &lt;/p&gt;&lt;/div&gt;</media:text>
        <media:keywords>local-search,hybridization,efficiency-enhancement,boa,bayesian-optimization-algorithm,</media:keywords>
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        <![CDATA[<div style="width:425px;text-align:left" id="__ss_112797"><a style="font:14px Helvetica,Arial,Sans-serif;display:block;margin:12px 0 3px 0;text-decoration:underline;" href="http://www.slideshare.net/pelikan/the-bayesian-optimization-algorithm-with-substructural-local-search?src=embed" title="The Bayesian Optimization Algorithm with Substructural Local Search">The Bayesian Optimization Algorithm with Substructural Local Search</a><object style="margin:0px" width="425" height="355"><param name="movie" value="http://static.slideshare.net/swf/ssplayer2.swf?doc=the-bayesian-optimization-algorithm-with-substructural-local-search4950"/><param name="allowFullScreen" value="true"/><param name="allowScriptAccess" value="always"/><embed src="http://static.slideshare.net/swf/ssplayer2.swf?doc=the-bayesian-optimization-algorithm-with-substructural-local-search4950" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="355"></embed></object><div style="font-size:11px;font-family:tahoma,arial;height:26px;padding-top:2px;">view <a href="http://www.slideshare.net/pelikan/the-bayesian-optimization-algorithm-with-substructural-local-search?src=embed" title="View The Bayesian Optimization Algorithm with Substructural Local Search on SlideShare">presentation</a> (tags: <a style="text-decoration:underline;" href="http://slideshare.net/tag/local-search">local-search</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/hybridization">hybridization</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/efficiency-enhancement">efficiency-enhancement</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/boa">boa</a>)</div></div>]]>
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        <slideshare:views>646</slideshare:views>
        <slideshare:comments>0</slideshare:comments>
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    <item>
      <title>Computational complexity and simulation of rare events of Ising spin glasses </title>
      <link>http://www.slideshare.net/pelikan/computational-complexity-and-simulation-of-rare-events-of-ising-spin-glasses</link>
      <description>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/computational-complexity-and-simulation-of-rare-events-of-ising-spin-glasses4173-thumbnail-2?1190728202" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/pelikan">pelikan</a> 10 months ago</p><p>We discuss the computational complexity of random 2D Ising spin glasses, which represent an interesting class of constraint satisfaction problems for black box optimization. Two extremal cases are considered: (1) the +/- J spin glass, and (2) the Gaussian spin glass. We also study a smooth transition between these two extremal cases. The computational complexity of all studied spin glass systems is found to be dominated by rare events of extremely hard spin glass samples. We show that complexity of all studied spin glass systems is closely related to Frechet extremal value distribution. In a hybrid algorithm that combines the hierarchical Bayesian optimization algorithm (hBOA) with a deterministic bit-flip hill climber, the number of steps performed by both the global searcher (hBOA) and the local searcher follow Frechet distributions. Nonetheless, unlike in methods based purely on local search, the parameters of these distributions confirm good scalability of hBOA with local search. We further argue that standard performance measures for optimization algorithms---such as the average number of evaluations until convergence---can be misleading. Finally, our results indicate that for highly multimodal constraint satisfaction problems, such as Ising spin glasses, recombination-based search can provide qualitatively better results than mutation-based search.</p><p>Tags: <a href="/tag/spin-glass" style="" title="" class="" target="" id="" >spin-glass</a> <a href="/tag/complexity" style="" title="" class="" target="" id="" >complexity</a> <a href="/tag/estimation-of-distribution-algorithms" style="" title="" class="" target="" id="" >estimation-of-distributi...</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> <a href="/tag/bayesian-optimization-algorithm" style="" title="" class="" target="" id="" >bayesian-optimization-al...</a> </p></div>]]>
      </description>
      <content:encoded>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/computational-complexity-and-simulation-of-rare-events-of-ising-spin-glasses4173-thumbnail-2?1190728202" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/pelikan">pelikan</a> 10 months ago</p><p>We discuss the computational complexity of random 2D Ising spin glasses, which represent an interesting class of constraint satisfaction problems for black box optimization. Two extremal cases are considered: (1) the +/- J spin glass, and (2) the Gaussian spin glass. We also study a smooth transition between these two extremal cases. The computational complexity of all studied spin glass systems is found to be dominated by rare events of extremely hard spin glass samples. We show that complexity of all studied spin glass systems is closely related to Frechet extremal value distribution. In a hybrid algorithm that combines the hierarchical Bayesian optimization algorithm (hBOA) with a deterministic bit-flip hill climber, the number of steps performed by both the global searcher (hBOA) and the local searcher follow Frechet distributions. Nonetheless, unlike in methods based purely on local search, the parameters of these distributions confirm good scalability of hBOA with local search. We further argue that standard performance measures for optimization algorithms---such as the average number of evaluations until convergence---can be misleading. Finally, our results indicate that for highly multimodal constraint satisfaction problems, such as Ising spin glasses, recombination-based search can provide qualitatively better results than mutation-based search.</p><p>Tags: <a href="/tag/spin-glass" style="" title="" class="" target="" id="" >spin-glass</a> <a href="/tag/complexity" style="" title="" class="" target="" id="" >complexity</a> <a href="/tag/estimation-of-distribution-algorithms" style="" title="" class="" target="" id="" >estimation-of-distributi...</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> <a href="/tag/bayesian-optimization-algorithm" style="" title="" class="" target="" id="" >bayesian-optimization-al...</a> </p></div>]]>
      </content:encoded>
      <pubDate>Tue, 25 Sep 2007 13:50:02 GMT</pubDate>
      <guid>http://www.slideshare.net/pelikan/computational-complexity-and-simulation-of-rare-events-of-ising-spin-glasses</guid>
      <author>pelikan@slideshare.net(pelikan)</author>
      <media:group>
        <media:player url="http://www.slideshare.net/pelikan/computational-complexity-and-simulation-of-rare-events-of-ising-spin-glasses"/>
        <media:title>Computational complexity and simulation of rare events of Ising spin glasses </media:title>
        <media:credit>pelikan</media:credit>
        <media:description type="plain">We discuss the computational complexity of random 2D Ising spin glasses, which represent an interesting class of constraint satisfaction problems for black box optimization. Two extremal cases are considered: (1) the +/- J spin glass, and (2) the Gaussian spin glass. We also study a smooth transition between these two extremal cases. The computational complexity of all studied spin glass systems is found to be dominated by rare events of extremely hard spin glass samples. We show that complexity of all studied spin glass systems is closely related to Frechet extremal value distribution. In a hybrid algorithm that combines the hierarchical Bayesian optimization algorithm (hBOA) with a deterministic bit-flip hill climber, the number of steps performed by both the global searcher (hBOA) and the local searcher follow Frechet distributions. Nonetheless, unlike in methods based purely on local search, the parameters of these distributions confirm good scalability of hBOA with local search. We further argue that standard performance measures for optimization algorithms---such as the average number of evaluations until convergence---can be misleading. Finally, our results indicate that for highly multimodal constraint satisfaction problems, such as Ising spin glasses, recombination-based search can provide qualitatively better results than mutation-based search.</media:description>
        <media:text type="html">&lt;div class='snap_preview'&gt;&lt;img src="http://cdn.slideshare.net/computational-complexity-and-simulation-of-rare-events-of-ising-spin-glasses4173-thumbnail-2?1190728202" alt ="" style="border:1px solid #C3E6D8;float:right;" /&gt; &lt;p&gt;from: &lt;a href="http://www.slideshare.net/pelikan"&gt;pelikan&lt;/a&gt; 10 months ago&lt;/p&gt;&lt;p&gt;We discuss the computational complexity of random 2D Ising spin glasses, which represent an interesting class of constraint satisfaction problems for black box optimization. Two extremal cases are considered: (1) the +/- J spin glass, and (2) the Gaussian spin glass. We also study a smooth transition between these two extremal cases. The computational complexity of all studied spin glass systems is found to be dominated by rare events of extremely hard spin glass samples. We show that complexity of all studied spin glass systems is closely related to Frechet extremal value distribution. In a hybrid algorithm that combines the hierarchical Bayesian optimization algorithm (hBOA) with a deterministic bit-flip hill climber, the number of steps performed by both the global searcher (hBOA) and the local searcher follow Frechet distributions. Nonetheless, unlike in methods based purely on local search, the parameters of these distributions confirm good scalability of hBOA with local search. We further argue that standard performance measures for optimization algorithms---such as the average number of evaluations until convergence---can be misleading. Finally, our results indicate that for highly multimodal constraint satisfaction problems, such as Ising spin glasses, recombination-based search can provide qualitatively better results than mutation-based search.&lt;/p&gt;&lt;p&gt;Tags: &lt;a href="/tag/spin-glass" style="" title="" class="" target="" id="" &gt;spin-glass&lt;/a&gt; &lt;a href="/tag/complexity" style="" title="" class="" target="" id="" &gt;complexity&lt;/a&gt; &lt;a href="/tag/estimation-of-distribution-algorithms" style="" title="" class="" target="" id="" &gt;estimation-of-distributi...&lt;/a&gt; &lt;a href="/tag/eda" style="" title="" class="" target="" id="" &gt;eda&lt;/a&gt; &lt;a href="/tag/bayesian-optimization-algorithm" style="" title="" class="" target="" id="" &gt;bayesian-optimization-al...&lt;/a&gt; &lt;/p&gt;&lt;/div&gt;</media:text>
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        <![CDATA[<div style="width:425px;text-align:left" id="__ss_117663"><a style="font:14px Helvetica,Arial,Sans-serif;display:block;margin:12px 0 3px 0;text-decoration:underline;" href="http://www.slideshare.net/pelikan/computational-complexity-and-simulation-of-rare-events-of-ising-spin-glasses?src=embed" title="Computational complexity and simulation of rare events of Ising spin glasses ">Computational complexity and simulation of rare events of Ising spin glasses </a><object style="margin:0px" width="425" height="355"><param name="movie" value="http://static.slideshare.net/swf/ssplayer2.swf?doc=computational-complexity-and-simulation-of-rare-events-of-ising-spin-glasses4173"/><param name="allowFullScreen" value="true"/><param name="allowScriptAccess" value="always"/><embed src="http://static.slideshare.net/swf/ssplayer2.swf?doc=computational-complexity-and-simulation-of-rare-events-of-ising-spin-glasses4173" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="355"></embed></object><div style="font-size:11px;font-family:tahoma,arial;height:26px;padding-top:2px;">view <a href="http://www.slideshare.net/pelikan/computational-complexity-and-simulation-of-rare-events-of-ising-spin-glasses?src=embed" title="View Computational complexity and simulation of rare events of Ising spin glasses  on SlideShare">presentation</a> (tags: <a style="text-decoration:underline;" href="http://slideshare.net/tag/spin-glass">spin-glass</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/complexity">complexity</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/estimation-of-distribution-algorithms">estimation-of-distributi...</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/eda">eda</a>)</div></div>]]>
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        <slideshare:views>530</slideshare:views>
        <slideshare:comments>2</slideshare:comments>
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    </item>
    <item>
      <title>GECCO 2007</title>
      <link>http://www.slideshare.net/Posa/gecco-2007</link>
      <description>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/gecco-2007-1193216766691524-2-thumbnail-2?1193216767" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/Posa">Posa</a> 9 months ago</p><p></p><p>Tags: <a href="/tag/real" style="" title="" class="" target="" id="" >real</a> <a href="/tag/parameter" style="" title="" class="" target="" id="" >parameter</a> <a href="/tag/optimization" style="" title="" class="" target="" id="" >optimization</a> <a href="/tag/estimation-of-distribution-algorithms" style="" title="" class="" target="" id="" >estimation-of-distributi...</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> </p></div>]]>
      </description>
      <content:encoded>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/gecco-2007-1193216766691524-2-thumbnail-2?1193216767" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/Posa">Posa</a> 9 months ago</p><p></p><p>Tags: <a href="/tag/real" style="" title="" class="" target="" id="" >real</a> <a href="/tag/parameter" style="" title="" class="" target="" id="" >parameter</a> <a href="/tag/optimization" style="" title="" class="" target="" id="" >optimization</a> <a href="/tag/estimation-of-distribution-algorithms" style="" title="" class="" target="" id="" >estimation-of-distributi...</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> </p></div>]]>
      </content:encoded>
      <pubDate>Wed, 24 Oct 2007 09:06:07 GMT</pubDate>
      <guid>http://www.slideshare.net/Posa/gecco-2007</guid>
      <author>Posa@slideshare.net(Posa)</author>
      <media:group>
        <media:player url="http://www.slideshare.net/Posa/gecco-2007"/>
        <media:title>GECCO 2007</media:title>
        <media:credit>Posa</media:credit>
        <media:description type="plain"></media:description>
        <media:text type="html">&lt;div class='snap_preview'&gt;&lt;img src="http://cdn.slideshare.net/gecco-2007-1193216766691524-2-thumbnail-2?1193216767" alt ="" style="border:1px solid #C3E6D8;float:right;" /&gt; &lt;p&gt;from: &lt;a href="http://www.slideshare.net/Posa"&gt;Posa&lt;/a&gt; 9 months ago&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Tags: &lt;a href="/tag/real" style="" title="" class="" target="" id="" &gt;real&lt;/a&gt; &lt;a href="/tag/parameter" style="" title="" class="" target="" id="" &gt;parameter&lt;/a&gt; &lt;a href="/tag/optimization" style="" title="" class="" target="" id="" &gt;optimization&lt;/a&gt; &lt;a href="/tag/estimation-of-distribution-algorithms" style="" title="" class="" target="" id="" &gt;estimation-of-distributi...&lt;/a&gt; &lt;a href="/tag/eda" style="" title="" class="" target="" id="" &gt;eda&lt;/a&gt; &lt;/p&gt;&lt;/div&gt;</media:text>
        <media:keywords>real,parameter,optimization,estimation-of-distribution-algorithms,eda,</media:keywords>
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        <![CDATA[<div style="width:425px;text-align:left" id="__ss_144025"><a style="font:14px Helvetica,Arial,Sans-serif;display:block;margin:12px 0 3px 0;text-decoration:underline;" href="http://www.slideshare.net/Posa/gecco-2007?src=embed" title="GECCO 2007">GECCO 2007</a><object style="margin:0px" width="425" height="355"><param name="movie" value="http://static.slideshare.net/swf/ssplayer2.swf?doc=gecco-2007-1193216766691524-2"/><param name="allowFullScreen" value="true"/><param name="allowScriptAccess" value="always"/><embed src="http://static.slideshare.net/swf/ssplayer2.swf?doc=gecco-2007-1193216766691524-2" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="355"></embed></object><div style="font-size:11px;font-family:tahoma,arial;height:26px;padding-top:2px;">view <a href="http://www.slideshare.net/Posa/gecco-2007?src=embed" title="View GECCO 2007 on SlideShare">presentation</a> (tags: <a style="text-decoration:underline;" href="http://slideshare.net/tag/real">real</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/parameter">parameter</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/optimization">optimization</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/estimation-of-distribution-algorithms">estimation-of-distributi...</a>)</div></div>]]>
      </slideshare:embed>
      <slideshare:meta>
        <slideshare:views>326</slideshare:views>
        <slideshare:comments>0</slideshare:comments>
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      </slideshare:meta>
    </item>
    <item>
      <title>Democratized Software</title>
      <link>http://www.slideshare.net/antonya/democratized-software</link>
      <description>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/democratized-software-1194588207877601-3-thumbnail-2?1194588208" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/antonya">antonya</a> 8 months ago</p><p>This gives the gist of a new way of looking at software. This slide gives the overall vision. People are welcome to join me to make this a reality. 

Imagine a enterprise software which you can experience and then use. And also you pay only when you use. We believe this will be a win win situation for both customer and the vendor.  The software proposes to achieve this by rethinking fundamentals. 

Please contact me at my email id to take this forward. </p><p>Tags: <a href="/tag/collaboration" style="" title="" class="" target="" id="" >collaboration</a> <a href="/tag/divide" style="" title="" class="" target="" id="" >divide</a> <a href="/tag/enterprise2-0" style="" title="" class="" target="" id="" >enterprise2.0</a> <a href="/tag/digital" style="" title="" class="" target="" id="" >digital</a> <a href="/tag/enterprise" style="" title="" class="" target="" id="" >enterprise</a> </p></div>]]>
      </description>
      <content:encoded>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/democratized-software-1194588207877601-3-thumbnail-2?1194588208" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/antonya">antonya</a> 8 months ago</p><p>This gives the gist of a new way of looking at software. This slide gives the overall vision. People are welcome to join me to make this a reality. 

Imagine a enterprise software which you can experience and then use. And also you pay only when you use. We believe this will be a win win situation for both customer and the vendor.  The software proposes to achieve this by rethinking fundamentals. 

Please contact me at my email id to take this forward. </p><p>Tags: <a href="/tag/collaboration" style="" title="" class="" target="" id="" >collaboration</a> <a href="/tag/divide" style="" title="" class="" target="" id="" >divide</a> <a href="/tag/enterprise2-0" style="" title="" class="" target="" id="" >enterprise2.0</a> <a href="/tag/digital" style="" title="" class="" target="" id="" >digital</a> <a href="/tag/enterprise" style="" title="" class="" target="" id="" >enterprise</a> </p></div>]]>
      </content:encoded>
      <pubDate>Fri, 09 Nov 2007 06:03:28 GMT</pubDate>
      <guid>http://www.slideshare.net/antonya/democratized-software</guid>
      <author>antonya@slideshare.net(antonya)</author>
      <media:group>
        <media:player url="http://www.slideshare.net/antonya/democratized-software"/>
        <media:title>Democratized Software</media:title>
        <media:credit>antonya</media:credit>
        <media:description type="plain">This gives the gist of a new way of looking at software. This slide gives the overall vision. People are welcome to join me to make this a reality. 

Imagine a enterprise software which you can experience and then use. And also you pay only when you use. We believe this will be a win win situation for both customer and the vendor.  The software proposes to achieve this by rethinking fundamentals. 

Please contact me at my email id to take this forward. </media:description>
        <media:text type="html">&lt;div class='snap_preview'&gt;&lt;img src="http://cdn.slideshare.net/democratized-software-1194588207877601-3-thumbnail-2?1194588208" alt ="" style="border:1px solid #C3E6D8;float:right;" /&gt; &lt;p&gt;from: &lt;a href="http://www.slideshare.net/antonya"&gt;antonya&lt;/a&gt; 8 months ago&lt;/p&gt;&lt;p&gt;This gives the gist of a new way of looking at software. This slide gives the overall vision. People are welcome to join me to make this a reality. 

Imagine a enterprise software which you can experience and then use. And also you pay only when you use. We believe this will be a win win situation for both customer and the vendor.  The software proposes to achieve this by rethinking fundamentals. 

Please contact me at my email id to take this forward. &lt;/p&gt;&lt;p&gt;Tags: &lt;a href="/tag/collaboration" style="" title="" class="" target="" id="" &gt;collaboration&lt;/a&gt; &lt;a href="/tag/divide" style="" title="" class="" target="" id="" &gt;divide&lt;/a&gt; &lt;a href="/tag/enterprise2-0" style="" title="" class="" target="" id="" &gt;enterprise2.0&lt;/a&gt; &lt;a href="/tag/digital" style="" title="" class="" target="" id="" &gt;digital&lt;/a&gt; &lt;a href="/tag/enterprise" style="" title="" class="" target="" id="" &gt;enterprise&lt;/a&gt; &lt;/p&gt;&lt;/div&gt;</media:text>
        <media:keywords>collaboration,divide,enterprise2.0,digital,enterprise,</media:keywords>
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      <slideshare:embed>
        <![CDATA[<div style="width:425px;text-align:left" id="__ss_160441"><a style="font:14px Helvetica,Arial,Sans-serif;display:block;margin:12px 0 3px 0;text-decoration:underline;" href="http://www.slideshare.net/antonya/democratized-software?src=embed" title="Democratized Software">Democratized Software</a><object style="margin:0px" width="425" height="355"><param name="movie" value="http://static.slideshare.net/swf/ssplayer2.swf?doc=democratized-software-1194588207877601-3"/><param name="allowFullScreen" value="true"/><param name="allowScriptAccess" value="always"/><embed src="http://static.slideshare.net/swf/ssplayer2.swf?doc=democratized-software-1194588207877601-3" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="355"></embed></object><div style="font-size:11px;font-family:tahoma,arial;height:26px;padding-top:2px;">view <a href="http://www.slideshare.net/antonya/democratized-software?src=embed" title="View Democratized Software on SlideShare">presentation</a> (tags: <a style="text-decoration:underline;" href="http://slideshare.net/tag/collaboration">collaboration</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/divide">divide</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/enterprise2-0">enterprise2.0</a> <a style="text-decoration:underline;" href="http://slideshare.net/tag/digital">digital</a>)</div></div>]]>
      </slideshare:embed>
      <slideshare:meta>
        <slideshare:views>226</slideshare:views>
        <slideshare:comments>0</slideshare:comments>
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      </slideshare:meta>
    </item>
    <item>
      <title>Distributed Eda</title>
      <link>http://www.slideshare.net/boonzaai/distributed-eda</link>
      <description>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/distributed-eda-1205078318253509-3-thumbnail-2?1205074719" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/boonzaai">boonzaai</a> 4 months ago</p><p>Example of a distributed event driven network of applications</p><p>Tags: <a href="/tag/event" style="" title="" class="" target="" id="" >event</a> <a href="/tag/driven" style="" title="" class="" target="" id="" >driven</a> <a href="/tag/architecture" style="" title="" class="" target="" id="" >architecture</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> <a href="/tag/event" style="" title="" class="" target="" id="" >event</a> </p></div>]]>
      </description>
      <content:encoded>
        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/distributed-eda-1205078318253509-3-thumbnail-2?1205074719" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/boonzaai">boonzaai</a> 4 months ago</p><p>Example of a distributed event driven network of applications</p><p>Tags: <a href="/tag/event" style="" title="" class="" target="" id="" >event</a> <a href="/tag/driven" style="" title="" class="" target="" id="" >driven</a> <a href="/tag/architecture" style="" title="" class="" target="" id="" >architecture</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> <a href="/tag/event" style="" title="" class="" target="" id="" >event</a> </p></div>]]>
      </content:encoded>
      <pubDate>Sun, 09 Mar 2008 14:58:39 GMT</pubDate>
      <guid>http://www.slideshare.net/boonzaai/distributed-eda</guid>
      <author>boonzaai@slideshare.net(boonzaai)</author>
      <media:group>
        <media:player url="http://www.slideshare.net/boonzaai/distributed-eda"/>
        <media:title>Distributed Eda</media:title>
        <media:credit>boonzaai</media:credit>
        <media:description type="plain">Example of a distributed event driven network of applications</media:description>
        <media:text type="html">&lt;div class='snap_preview'&gt;&lt;img src="http://cdn.slideshare.net/distributed-eda-1205078318253509-3-thumbnail-2?1205074719" alt ="" style="border:1px solid #C3E6D8;float:right;" /&gt; &lt;p&gt;from: &lt;a href="http://www.slideshare.net/boonzaai"&gt;boonzaai&lt;/a&gt; 4 months ago&lt;/p&gt;&lt;p&gt;Example of a distributed event driven network of applications&lt;/p&gt;&lt;p&gt;Tags: &lt;a href="/tag/event" style="" title="" class="" target="" id="" &gt;event&lt;/a&gt; &lt;a href="/tag/driven" style="" title="" class="" target="" id="" &gt;driven&lt;/a&gt; &lt;a href="/tag/architecture" style="" title="" class="" target="" id="" &gt;architecture&lt;/a&gt; &lt;a href="/tag/eda" style="" title="" class="" target="" id="" &gt;eda&lt;/a&gt; &lt;a href="/tag/event" style="" title="" class="" target="" id="" &gt;event&lt;/a&gt; &lt;/p&gt;&lt;/div&gt;</media:text>
        <media:keywords>event,driven,architecture,eda,event,</media:keywords>
        <media:thumbnail width="120" url="http://cdn.slideshare.net/distributed-eda-1205078318253509-3-thumbnail-2?1205074719" height="90"/>
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      <title>Gamze  Eda</title>
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      <pubDate>Wed, 21 May 2008 07:43:57 GMT</pubDate>
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    <item>
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Betanzos (A Coruña)
Proyecto EDA
CNICE
Ministerio de Educación, Política Social y Deporte.</p><p>Tags: <a href="/tag/tic" style="" title="" class="" target="" id="" >tic</a> <a href="/tag/formaci-n" style="" title="" class="" target="" id="" >formación</a> <a href="/tag/experimentaci-n" style="" title="" class="" target="" id="" >experimentación</a> <a href="/tag/cnice" style="" title="" class="" target="" id="" >cnice</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> </p></div>]]>
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Betanzos (A Coruña)
Proyecto EDA
CNICE
Ministerio de Educación, Política Social y Deporte.</p><p>Tags: <a href="/tag/tic" style="" title="" class="" target="" id="" >tic</a> <a href="/tag/formaci-n" style="" title="" class="" target="" id="" >formación</a> <a href="/tag/experimentaci-n" style="" title="" class="" target="" id="" >experimentación</a> <a href="/tag/cnice" style="" title="" class="" target="" id="" >cnice</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> </p></div>]]>
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      <pubDate>Wed, 09 Jul 2008 12:53:38 GMT</pubDate>
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        <media:description type="plain">IV Congreso de Educación Matemática AGAPEMA. 
Betanzos (A Coruña)
Proyecto EDA
CNICE
Ministerio de Educación, Política Social y Deporte.</media:description>
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Betanzos (A Coruña)
Proyecto EDA
CNICE
Ministerio de Educación, Política Social y Deporte.&lt;/p&gt;&lt;p&gt;Tags: &lt;a href="/tag/tic" style="" title="" class="" target="" id="" &gt;tic&lt;/a&gt; &lt;a href="/tag/formaci-n" style="" title="" class="" target="" id="" &gt;formación&lt;/a&gt; &lt;a href="/tag/experimentaci-n" style="" title="" class="" target="" id="" &gt;experimentación&lt;/a&gt; &lt;a href="/tag/cnice" style="" title="" class="" target="" id="" &gt;cnice&lt;/a&gt; &lt;a href="/tag/eda" style="" title="" class="" target="" id="" &gt;eda&lt;/a&gt; &lt;/p&gt;&lt;/div&gt;</media:text>
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      <title>Presentacion El Escorial</title>
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        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/presentacionelescorial-1215645782794148-9-thumbnail-2?1215645566" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/proyectoheda">proyectoheda</a> 2 weeks ago</p><p>Las TIC y las competencias básicas, hacia un aprendizaje en colaboración en la enseñanza de las Matemáticas
La semana del 7 al 11 de Julio se celebra en El Escorial el curso: Desarrollo de las Competencias básicas a través de las Matemáticas dentro de la Programación de los cursos de verano 2008  para el profesorado de ESO y Bachillerato.</p><p>Tags: <a href="/tag/tic" style="" title="" class="" target="" id="" >tic</a> <a href="/tag/matem-ticas" style="" title="" class="" target="" id="" >matemáticas</a> <a href="/tag/cnice" style="" title="" class="" target="" id="" >cnice</a> <a href="/tag/descartes" style="" title="" class="" target="" id="" >descartes</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> </p></div>]]>
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La semana del 7 al 11 de Julio se celebra en El Escorial el curso: Desarrollo de las Competencias básicas a través de las Matemáticas dentro de la Programación de los cursos de verano 2008  para el profesorado de ESO y Bachillerato.</p><p>Tags: <a href="/tag/tic" style="" title="" class="" target="" id="" >tic</a> <a href="/tag/matem-ticas" style="" title="" class="" target="" id="" >matemáticas</a> <a href="/tag/cnice" style="" title="" class="" target="" id="" >cnice</a> <a href="/tag/descartes" style="" title="" class="" target="" id="" >descartes</a> <a href="/tag/eda" style="" title="" class="" target="" id="" >eda</a> </p></div>]]>
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        <media:description type="plain">Las TIC y las competencias básicas, hacia un aprendizaje en colaboración en la enseñanza de las Matemáticas
La semana del 7 al 11 de Julio se celebra en El Escorial el curso: Desarrollo de las Competencias básicas a través de las Matemáticas dentro de la Programación de los cursos de verano 2008  para el profesorado de ESO y Bachillerato.</media:description>
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La semana del 7 al 11 de Julio se celebra en El Escorial el curso: Desarrollo de las Competencias básicas a través de las Matemáticas dentro de la Programación de los cursos de verano 2008  para el profesorado de ESO y Bachillerato.&lt;/p&gt;&lt;p&gt;Tags: &lt;a href="/tag/tic" style="" title="" class="" target="" id="" &gt;tic&lt;/a&gt; &lt;a href="/tag/matem-ticas" style="" title="" class="" target="" id="" &gt;matemáticas&lt;/a&gt; &lt;a href="/tag/cnice" style="" title="" class="" target="" id="" &gt;cnice&lt;/a&gt; &lt;a href="/tag/descartes" style="" title="" class="" target="" id="" &gt;descartes&lt;/a&gt; &lt;a href="/tag/eda" style="" title="" class="" target="" id="" &gt;eda&lt;/a&gt; &lt;/p&gt;&lt;/div&gt;</media:text>
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    <item>
      <title>Granada Presentacion Collage En Negro</title>
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(Proyecto HEDA)</p><p>Tags: <a href="/tag/tic" style="" title="" class="" target="" id="" >tic</a> <a href="/tag/heda" style="" title="" class="" target="" id="" >heda</a> <a href="/tag/internet" style="" title="" class="" target="" id="" >internet</a> <a href="/tag/aula" style="" title="" class="" target="" id="" >aula</a> <a href="/tag/congreso" style="" title="" class="" target="" id="" >congreso</a> </p></div>]]>
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      <pubDate>Sun, 13 Jul 2008 09:16:09 GMT</pubDate>
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(Proyecto HEDA)</p><p>Tags: <a href="/tag/tic" style="" title="" class="" target="" id="" >tic</a> <a href="/tag/internet" style="" title="" class="" target="" id="" >internet</a> <a href="/tag/aula" style="" title="" class="" target="" id="" >aula</a> <a href="/tag/congreso" style="" title="" class="" target="" id="" >congreso</a> <a href="/tag/heda" style="" title="" class="" target="" id="" >heda</a> </p></div>]]>
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        <![CDATA[<div class='snap_preview'><img src="http://cdn.slideshare.net/ponenciaoretania2-1215969594604696-9-thumbnail-2?1215969365" alt ="" style="border:1px solid #C3E6D8;float:right;" /> <p>from: <a href="http://www.slideshare.net/proyectoheda">proyectoheda</a> 1 week ago</p><p>Ponencia presentada por Antonio Ángel Pérez, del IES Oretania de Linares (Jaén), en el Congreso Nacional Internet en el Aula.
(Proyecto HEDA)</p><p>Tags: <a href="/tag/tic" style="" title="" class="" target="" id="" >tic</a> <a href="/tag/internet" style="" title="" class="" target="" id="" >internet</a> <a href="/tag/aula" style="" title="" class="" target="" id="" >aula</a> <a href="/tag/congreso" style="" title="" class="" target="" id="" >congreso</a> <a href="/tag/heda" style="" title="" class="" target="" id="" >heda</a> </p></div>]]>
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      <pubDate>Sun, 13 Jul 2008 17:15:58 GMT</pubDate>
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