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...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Schmidt, Christian
Format:	Online
Sprache:	Englisch
Veröffentlicht:	KIT Scientific Publishing 2021
Schlagworte:	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
Online-Zugang:	34679
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