SlideShare a Scribd company logo
1 of 29
Statistical Mechanics for GAs A gentle introduction Presented by : Yann SEMET Universite de Technologie de Compiegne
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2 documents ,[object Object],[object Object],[object Object],[object Object]
Motivations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Macroscopics ,[object Object],[object Object],[object Object]
Modelling the dynamics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Definitions ,[object Object],[object Object]
Cumulants ,[object Object],[object Object]
Cumulants (cont.) ,[object Object],[object Object]
Gram-Charlier expansion ,[object Object]
Correlation ,[object Object],[object Object]
Best population member ,[object Object]
Modelling selection ,[object Object],[object Object],[object Object],[object Object],[object Object]
Selection (cont.) ,[object Object]
Selection (cont.) ,[object Object],[object Object]
Correlation after selection ,[object Object],[object Object],[object Object],[object Object]
Selection schemes ,[object Object],[object Object],[object Object],[object Object],[object Object]
Tackling problems ,[object Object],[object Object],[object Object],[object Object]
Mutation (1)
Mutation (2) ,[object Object],[object Object],[object Object]
Crossover ,[object Object],[object Object],[object Object]
Maximum entropy ansatz ,[object Object],[object Object],[object Object],[object Object],[object Object]
Results
Onemax problem
2 nd  class of problems ,[object Object],[object Object],[object Object],[object Object],[object Object]
A NP hard problem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Extensions of the model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

Similar to Statistical Mechanics For G As

Part 2: Unsupervised Learning Machine Learning Techniques
Part 2: Unsupervised Learning Machine Learning Techniques Part 2: Unsupervised Learning Machine Learning Techniques
Part 2: Unsupervised Learning Machine Learning Techniques
butest
 
AcceleratingBayesianInference
AcceleratingBayesianInferenceAcceleratingBayesianInference
AcceleratingBayesianInference
Luca Carniato
 
Intro to Model Selection
Intro to Model SelectionIntro to Model Selection
Intro to Model Selection
chenhm
 
Jörg Stelzer
Jörg StelzerJörg Stelzer
Jörg Stelzer
butest
 
Sarcia idoese08
Sarcia idoese08Sarcia idoese08
Sarcia idoese08
asarcia
 

Similar to Statistical Mechanics For G As (20)

2016: Classification of FDG-PET Brain Data
2016: Classification of FDG-PET Brain Data2016: Classification of FDG-PET Brain Data
2016: Classification of FDG-PET Brain Data
 
Can We Use Rum and Not Get Drunk?
Can We Use Rum and Not Get Drunk?Can We Use Rum and Not Get Drunk?
Can We Use Rum and Not Get Drunk?
 
Part 2: Unsupervised Learning Machine Learning Techniques
Part 2: Unsupervised Learning Machine Learning Techniques Part 2: Unsupervised Learning Machine Learning Techniques
Part 2: Unsupervised Learning Machine Learning Techniques
 
mix2.pdf
mix2.pdfmix2.pdf
mix2.pdf
 
testing as a mixture estimation problem
testing as a mixture estimation problemtesting as a mixture estimation problem
testing as a mixture estimation problem
 
A Systems Approach to the Modeling and Control of Molecular, Microparticle, a...
A Systems Approach to the Modeling and Control of Molecular, Microparticle, a...A Systems Approach to the Modeling and Control of Molecular, Microparticle, a...
A Systems Approach to the Modeling and Control of Molecular, Microparticle, a...
 
5 5 10
5 5 105 5 10
5 5 10
 
AcceleratingBayesianInference
AcceleratingBayesianInferenceAcceleratingBayesianInference
AcceleratingBayesianInference
 
Intro to Model Selection
Intro to Model SelectionIntro to Model Selection
Intro to Model Selection
 
2012 predictive clusters
2012 predictive clusters2012 predictive clusters
2012 predictive clusters
 
An Improved Iterative Method for Solving General System of Equations via Gene...
An Improved Iterative Method for Solving General System of Equations via Gene...An Improved Iterative Method for Solving General System of Equations via Gene...
An Improved Iterative Method for Solving General System of Equations via Gene...
 
An Improved Iterative Method for Solving General System of Equations via Gene...
An Improved Iterative Method for Solving General System of Equations via Gene...An Improved Iterative Method for Solving General System of Equations via Gene...
An Improved Iterative Method for Solving General System of Equations via Gene...
 
AN IMPROVED ITERATIVE METHOD FOR SOLVING GENERAL SYSTEM OF EQUATIONS VIA GENE...
AN IMPROVED ITERATIVE METHOD FOR SOLVING GENERAL SYSTEM OF EQUATIONS VIA GENE...AN IMPROVED ITERATIVE METHOD FOR SOLVING GENERAL SYSTEM OF EQUATIONS VIA GENE...
AN IMPROVED ITERATIVE METHOD FOR SOLVING GENERAL SYSTEM OF EQUATIONS VIA GENE...
 
Jörg Stelzer
Jörg StelzerJörg Stelzer
Jörg Stelzer
 
Petar Petrov MSc thesis defense
Petar Petrov MSc thesis defensePetar Petrov MSc thesis defense
Petar Petrov MSc thesis defense
 
JOURNALnew
JOURNALnewJOURNALnew
JOURNALnew
 
PyData Miami 2019, Quantum Generalized Linear Models
PyData Miami 2019, Quantum Generalized Linear ModelsPyData Miami 2019, Quantum Generalized Linear Models
PyData Miami 2019, Quantum Generalized Linear Models
 
Sarcia idoese08
Sarcia idoese08Sarcia idoese08
Sarcia idoese08
 
Online learning in estimation of distribution algorithms for dynamic environm...
Online learning in estimation of distribution algorithms for dynamic environm...Online learning in estimation of distribution algorithms for dynamic environm...
Online learning in estimation of distribution algorithms for dynamic environm...
 
Metabolomics.ppt
Metabolomics.pptMetabolomics.ppt
Metabolomics.ppt
 

More from ysemet

Computer Generated Watercolor
Computer Generated WatercolorComputer Generated Watercolor
Computer Generated Watercolor
ysemet
 
Slides Gecco04
Slides Gecco04Slides Gecco04
Slides Gecco04
ysemet
 
Slides Cf04
Slides Cf04Slides Cf04
Slides Cf04
ysemet
 
Semet Jet10
Semet Jet10Semet Jet10
Semet Jet10
ysemet
 
Semet Jet9
Semet Jet9Semet Jet9
Semet Jet9
ysemet
 
Semet Cec05
Semet Cec05Semet Cec05
Semet Cec05
ysemet
 
Interactive Evolutionary Computation
Interactive Evolutionary ComputationInteractive Evolutionary Computation
Interactive Evolutionary Computation
ysemet
 
Fm G As
Fm G AsFm G As
Fm G As
ysemet
 
A Hitchikers Guide To Parallel G As
A Hitchikers Guide To Parallel G AsA Hitchikers Guide To Parallel G As
A Hitchikers Guide To Parallel G As
ysemet
 
Semet Gecco06
Semet Gecco06Semet Gecco06
Semet Gecco06
ysemet
 

More from ysemet (11)

Computer Generated Watercolor
Computer Generated WatercolorComputer Generated Watercolor
Computer Generated Watercolor
 
Test
TestTest
Test
 
Slides Gecco04
Slides Gecco04Slides Gecco04
Slides Gecco04
 
Slides Cf04
Slides Cf04Slides Cf04
Slides Cf04
 
Semet Jet10
Semet Jet10Semet Jet10
Semet Jet10
 
Semet Jet9
Semet Jet9Semet Jet9
Semet Jet9
 
Semet Cec05
Semet Cec05Semet Cec05
Semet Cec05
 
Interactive Evolutionary Computation
Interactive Evolutionary ComputationInteractive Evolutionary Computation
Interactive Evolutionary Computation
 
Fm G As
Fm G AsFm G As
Fm G As
 
A Hitchikers Guide To Parallel G As
A Hitchikers Guide To Parallel G AsA Hitchikers Guide To Parallel G As
A Hitchikers Guide To Parallel G As
 
Semet Gecco06
Semet Gecco06Semet Gecco06
Semet Gecco06
 

Recently uploaded

Recently uploaded (20)

2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 

Statistical Mechanics For G As