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by Paskorn Champrasert, Ph.D student in CS

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Category Archives: GA

GARS: GA with Reserve Selection

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GARs

View SlideShare presentation or Upload your own. (tags: moea)

Posted in EA, GA, Genetic operations, paper, presentation, Selection Method | Leave a reply

SBX: Simulated Binary Crossover (GA)

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Simulated Binary Crossover: SBX Presentation

Simulated Binary Crossover

View SlideShare presentation or Upload your own.

in DSSG group meeting
more information here

Posted in GA, Genetic operations, presentation | Leave a reply

GA Parameters Setting

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[developing blog]

Parameters Setting

A Taguchi Approach GA for job shop
Costs and Benefit of Tuning Parameters
Removing Genetics from the Standard Genetic Algorithm
Crossover or Mutation ?

Adaptation of genetic algorithm parameters based on fuzzy logic controllers
Finite Markov Chain Analysis of Genetic Algorithm

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Java Math Tools

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JMathTools

http://sourceforge.net/project/showfiles.php?group_id=120565

I will try to use JMathPlot to plot multi-objective graph.

Posted in GA, java, Ph. D. tools | Leave a reply

[paper] Crossover VS Mutation

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Let’s Get Ready to Rumble Crossover vs Mutation Head to Head (slide)

A Revised Comparison of Crossover and Mutation in Genetic Programming (paper)
(good way to show results) This paper show that crossover is better than mutation.

Posted in GA, Genetic operations | Leave a reply

[paper] Adaptation Mutation

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Evolution of Evolvability via Adaptation of Mutation Rates

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GA for Multiscale modeling

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GA for multiscale modeling (Thesis)

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[paper] Analysis of GA

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Maximum Entropy Analysis of Genetic Algorithm Operators (1995)

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