Evolutionary Computation in Dynamic and Uncertain Environments (Studies in Computational Intelligence, 51) - Hardcover

Hardcover

ISBN 10: 3540497722 ISBN 13: 9783540497721

Publisher: Springer, 2007

Synopsis

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.

About this title

From the Back Cover:

This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. 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, are presented. "Evolutionary Computation in Dynamic and Uncertain Environments" is a valuable reference for scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, natural computing and evolutionary computation.

About this edition

• Publisher: Springer
• Publication date: 2007
• ISBN 10: 3540497722
• ISBN 13: 9783540497721
• Binding: Hardcover
• Number of pages: 628
• Editor: Yang Shengxiang, Ong Yew-Soon, Jin Yaochu