Slideshows by User: nojhan

Slideshows by User: nojhan http://www.slideshare.net/ http://www.slideshare.net/images/logo.gif Slideshows by User: nojhan http://www.slideshare.net/ Thu, 21 May 2009 07:47:48 GMT SlideShare feed for Slideshows by User: nojhan Introduction à la POO - cours 1h http://www.slideshare.net/nojhan/introduction-la-poo-cours-1h
Cours d’une heure sur la programmation orientée, orienté sur l’héritage. Tentative de présenter les choses un peu différemment d’un cours académique standard.]]>
Cours d’une heure sur la programmation orientée, orienté sur l’héritage. Tentative de présenter les choses un peu différemment d’un cours académique standard.]]> Thu, 21 May 2009 07:47:48 GMT http://www.slideshare.net/nojhan/introduction-la-poo-cours-1h nojhan@slideshare.net(nojhan) Introduction à la POO - cours 1h nojhan Cours d’une heure sur la programmation orientée, orienté sur l’héritage. Tentative de présenter les choses un peu différemment d’un cours académique standard. <img src="http://cdn.slidesharecdn.com/dreoagroparistechcours-090521025004-phpapp02-thumbnail-2?1242894641" alt ="" style="border:1px solid #C3E6D8;float:right;" /> Cours d’une heure sur la programmation orientée, orienté sur l’héritage. Tentative de présenter les choses un peu différemment d’un cours académique standard. Introduction à la POO - cours 1h

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Multi-criteria meta-parameter tuning for mono-objective stochastic metaheuristics http://www.slideshare.net/nojhan/multicriteria-metaparameter-tuning-for-monoobjective-stochastic-metaheuristics-presentation-752047
Johann Dréo, \"Multi-criteria meta-parameter tuning for mono-objective stochastic metaheuristics\", 2nd International Conference on Metaheuristics and Nature Inspired Computing - 30 October 2008 One of the main difficulties of applying a stochastic metaheuristics to an optimization problem is to choose the best parameter setting. Our work suggest that this can be considered as a bi-objective problem, where one try to optimize both speed and precision of the underlying algorithm. Moreover, this objective function is perturbated by noise, due to the stochastic nature of the metaheuristics, thus necessiting appropriate estimation of the measure bias. In this article, we propose to use bi-objective metaheuristic along with a simple method of noise estimation to find the Pareto front of the bests sets of parameters. The method has the advantages of: aggregating the several parameters of the studied metaheuristic into a single one, permitting to study their relative influence on its behavior and comparing several metaheuristics.]]>
Johann Dréo, \"Multi-criteria meta-parameter tuning for mono-objective stochastic metaheuristics\", 2nd International Conference on Metaheuristics and Nature Inspired Computing - 30 October 2008 One of the main difficulties of applying a stochastic metaheuristics to an optimization problem is to choose the best parameter setting. Our work suggest that this can be considered as a bi-objective problem, where one try to optimize both speed and precision of the underlying algorithm. Moreover, this objective function is perturbated by noise, due to the stochastic nature of the metaheuristics, thus necessiting appropriate estimation of the measure bias. In this article, we propose to use bi-objective metaheuristic along with a simple method of noise estimation to find the Pareto front of the bests sets of parameters. The method has the advantages of: aggregating the several parameters of the studied metaheuristic into a single one, permitting to study their relative influence on its behavior and comparing several metaheuristics.]]> Fri, 14 Nov 2008 06:48:18 GMT http://www.slideshare.net/nojhan/multicriteria-metaparameter-tuning-for-monoobjective-stochastic-metaheuristics-presentation-752047 nojhan@slideshare.net(nojhan) Multi-criteria meta-parameter tuning for mono-objective stochastic metaheuristics nojhan Johann Dréo, \"Multi-criteria meta-parameter tuning for mono-objective stochastic metaheuristics\", 2nd International Conference on Metaheuristics and Nature Inspired Computing - 30 October 2008 One of the main difficulties of applying a stochastic metaheuristics to an optimization problem is to choose the best parameter setting. Our work suggest that this can be considered as a bi-objective problem, where one try to optimize both speed and precision of the underlying algorithm. Moreover, this objective function is perturbated by noise, due to the stochastic nature of the metaheuristics, thus necessiting appropriate estimation of the measure bias. In this article, we propose to use bi-objective metaheuristic along with a simple method of noise estimation to find the Pareto front of the bests sets of parameters. The method has the advantages of: aggregating the several parameters of the studied metaheuristic into a single one, permitting to study their relative influence on its behavior and comparing several metaheuristics. <img src="http://cdn.slidesharecdn.com/meta08dreoparameters-1226652498095339-8-thumbnail-2?1226646742" alt ="" style="border:1px solid #C3E6D8;float:right;" /> Johann Dréo, \"Multi-criteria meta-parameter tuning for mono-objective stochastic metaheuristics\", 2nd International Conference on Metaheuristics and Nature Inspired Computing - 30 October 2008 One of the main difficulties of applying a stochastic metaheuristics to an optimization problem is to choose the best parameter setting. Our work suggest that this can be considered as a bi-objective problem, where one try to optimize both speed and precision of the underlying algorithm. Moreover, this objective function is perturbated by noise, due to the stochastic nature of the metaheuristics, thus necessiting appropriate estimation of the measure bias. In this article, we propose to use bi-objective metaheuristic along with a simple method of noise estimation to find the Pareto front of the bests sets of parameters. The method has the advantages of: aggregating the several parameters of the studied metaheuristic into a single one, permitting to study their relative influence on its behavior and comparing several metaheuristics. Multi-criteria meta-parameter tuning for mono-objective stochastic metaheuristics

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Introduction aux métaheuristiques (3h) http://www.slideshare.net/nojhan/introduction-aux-mtaheuristiques-3h
3 heures de cours d\’introduction aux métaheuristiques. Le cours couvre de la conception à l\’utilisation de ces algorithmes d\’optimisation globale (généralement stochastiques). Présenté à l\’École Nationale des Ponts et Chaussées en avril 2008.]]>
3 heures de cours d\’introduction aux métaheuristiques. Le cours couvre de la conception à l\’utilisation de ces algorithmes d\’optimisation globale (généralement stochastiques). Présenté à l\’École Nationale des Ponts et Chaussées en avril 2008.]]> Mon, 28 Apr 2008 16:50:37 GMT http://www.slideshare.net/nojhan/introduction-aux-mtaheuristiques-3h nojhan@slideshare.net(nojhan) Introduction aux métaheuristiques (3h) nojhan 3 heures de cours d\’introduction aux métaheuristiques. Le cours couvre de la conception à l\’utilisation de ces algorithmes d\’optimisation globale (généralement stochastiques). Présenté à l\’École Nationale des Ponts et Chaussées en avril 2008. <img src="http://cdn.slidesharecdn.com/enpcdromtaheuristiquescours-1209408635611744-9-thumbnail-2?1209401437" alt ="" style="border:1px solid #C3E6D8;float:right;" /> 3 heures de cours d\’introduction aux métaheuristiques. Le cours couvre de la conception à l\’utilisation de ces algorithmes d\’optimisation globale (généralement stochastiques). Présenté à l\’École Nationale des Ponts et Chaussées en avril 2008. Introduction aux métaheuristiques (3h)

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Metaheuristics classifications http://www.slideshare.net/nojhan/metaheuristics-classifications
A first attempt to present the differents classifications of metaheuristics in one single diagram.]]>
A first attempt to present the differents classifications of metaheuristics in one single diagram.]]> Wed, 26 Sep 2007 11:17:31 GMT http://www.slideshare.net/nojhan/metaheuristics-classifications nojhan@slideshare.net(nojhan) Metaheuristics classifications nojhan A first attempt to present the differents classifications of metaheuristics in one single diagram. <img src="http://cdn.slidesharecdn.com/metaheuristics-classifications1993-thumbnail-2?1190805451" alt ="" style="border:1px solid #C3E6D8;float:right;" /> A first attempt to present the differents classifications of metaheuristics in one single diagram. Metaheuristics classifications

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Métaheuristiques et applications http://www.slideshare.net/nojhan/mtaheuristiques-et-applications
Présentation générale des métaheuristiques et des problèmes d’optimisation qu’elles peuvent aider à résoudre.]]>
Présentation générale des métaheuristiques et des problèmes d’optimisation qu’elles peuvent aider à résoudre.]]> Thu, 20 Sep 2007 12:31:50 GMT http://www.slideshare.net/nojhan/mtaheuristiques-et-applications nojhan@slideshare.net(nojhan) Métaheuristiques et applications nojhan Présentation générale des métaheuristiques et des problèmes d’optimisation qu’elles peuvent aider à résoudre. <img src="http://cdn.slidesharecdn.com/mtaheuristiques-et-applications1747-thumbnail-2?1190291510" alt ="" style="border:1px solid #C3E6D8;float:right;" /> Présentation générale des métaheuristiques et des problèmes d’optimisation qu’elles peuvent aider à résoudre. Métaheuristiques et applications

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]]> http://cdn.slidesharecdn.com/profile-photo-nojhan?1246008742 Researcher in computer science, complex systems, optimization, stochastic algorithms, metaheuristics. www.nojhan.net http://cdn.slidesharecdn.com/dreoagroparistechcours-090521025004-phpapp02-thumbnail?1242894641 nojhan/introduction-la-poo-cours-1h Introduction à la POO ... http://cdn.slidesharecdn.com/meta08dreoparameters-1226652498095339-8-thumbnail?1226646742 nojhan/multicriteria-metaparameter-tuning-for-monoobjective-stochastic-metaheuristics-presentation-752047 Multi-criteria meta-pa... http://cdn.slidesharecdn.com/enpcdromtaheuristiquescours-1209408635611744-9-thumbnail?1209401437 nojhan/introduction-aux-mtaheuristiques-3h Introduction aux métah...