Evolutionary computation has started to receive significant attention during the last decade,
although the origins can be traced back to the late 1950's. This article surveys the history as …

We present an overview of the most important representatives of algorithms gleaned from
natural evolution, so-called evolutionary algorithms. Evolution strategies, evolutionary …

This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

A comprehensive guide to a powerful new analytical tool by two of its foremost innovators
The past decade has witnessed many exciting advances in the use of genetic algorithms …

" In Fundamentals of Artificial Neural Networks, Mohamad Hassoun provides the first
systematic account of artificial neural network paradigms by identifying clearly the …

From the Publisher: With the publication of this book, Hans-Paul Schwefel has responded to
rapidly growing interest in Evolutionary Computation, a field that originated, in part, with his …

The issue of controlling values of various parameters of an evolutionary algorithm is one of
the most important and promising areas of research in evolutionary computation: it has a …

This invaluable book has been designed to be useful to most practising scientists and
engineers, whatever their field and however rusty their mathematics and programming might …

For genetic algorithms (GAs) using a bit-string representation of length n, the general
recommendation is to take 1/n as mutation rate. In this work, we discuss whether this is …