Evolutionary Computation in Dynamic and Uncertain Environments

Date

2007-03

Advisors

Journal Title

Journal ISSN

ISSN

1860-949X

Volume Title

Publisher

Springer

Type

Book

Peer reviewed

Yes

Abstract

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.

Description

Keywords

Citation

Yang, S., Ong, Y-S. and Jin, Y. (Eds.) Evolutionary Computation in Dynamic and Uncertain Environments. Volume 51. Heidelberg: Springer.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)