Evolutionary computation in stochastic environments
Schmidt, Christian
Evolutionary computation in stochastic environments - KIT Scientific Publishing 2007 - 1 electronic resource (VII, 128 p. p.)
Open Access
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.
Creative Commons
English
KSP/1000006634 9783866441286
10.5445/KSP/1000006634 doi
Evolutionary Algorithm Uncertainty Simulation based optimization Bayes Ranking & Selection Genetic Algorithms
Evolutionary computation in stochastic environments - KIT Scientific Publishing 2007 - 1 electronic resource (VII, 128 p. p.)
Open Access
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.
Creative Commons
English
KSP/1000006634 9783866441286
10.5445/KSP/1000006634 doi
Evolutionary Algorithm Uncertainty Simulation based optimization Bayes Ranking & Selection Genetic Algorithms