Can I read Linkage in Evolutionary Computation Studies in Computational Intelligence on EtoBox?

Linkage in Evolutionary Computation Studies in Computational Intelligence by Josef Schwarz, Jiri Jaros (auth.), Ying-ping Chen, Meng-Hiot Lim (eds.) is a nonfiction available to read on EtoBox.

What is Linkage in Evolutionary Computation Studies in Computational Intelligence about?

In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily ”fooled” by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way. The whole volume consisting of 19 chapters is divided into 3 parts: Models and Theories; Operators and Frameworks; Applications. This edited volume will serve as a useful guide and reference for researchers who are currently working in the area of linkage. For postgraduate research students, this volume will serve as a good source of reference. It is also suitable as a text for a graduate level course focusing on linkage issues. For practitioners who are looking at putting into practice the concept

Who reads Linkage in Evolutionary Computation Studies in Computational Intelligence?

Author

Josef Schwarz, Jiri Jaros (auth.), Ying-ping Chen, Meng-Hiot Lim (eds.)

Publisher

Springer-Verlag Berlin Heidelberg

Published

2008

Language

EN

ISBN

9783540850687

Category

nonfiction

Subjects

Engineering, Mathematics, Technology