Evolutionary computation in stochastic environments

This book develops efficient methods for the application of Evolutionary Algorithms on stochastic problems. To achieve this, procedures for statistical selection are systematically analyzed with respect to different measures and significantly improved. It is shown how to adapt one of the best proced...

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Bibliographic Details
Main Author: Schmidt, Christian (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2007
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Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Evolutionary computation in stochastic environments 
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520 |a This book develops efficient methods for the application of Evolutionary Algorithms on stochastic problems. To achieve this, procedures for statistical selection are systematically analyzed with respect to different measures and significantly improved. It is shown how to adapt one of the best procedures for the needs of Evolutionary Algorithms and Evolutionary operators for efficient implementation in stochastic environments are identified. 
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546 |a English 
653 |a Evolutionary Algorithm 
653 |a Uncertainty 
653 |a Simulation based optimization 
653 |a Bayes 
653 |a Ranking & Selection 
653 |a Genetic Algorithms 
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