Evolutionary Computation in Dynamic and Uncertain Environments

This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.

1 Explicit Memory Schemes for Evolutionary Algorithms in Dynamic
Environments Shengxiang Yang Department of ... Problem optimization in
dynamic environments has atrracted a growing interest from the evolutionary
computation ...