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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Autor principal:	Schmidt, Christian
Format:	Online
Idioma:	anglès
Publicat:	KIT Scientific Publishing 2021
Matèries:	QA75.5-76.95 Evolutionary Algorithm Uncertainty Simulation based optimization Bayes Ranking & Selection Genetic Algorithms bic Book Industry Communication::U Computing & information technology::UY Computer science
Accés en línia:	34679
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