This paper introduces genetic algorithms (GA) as a complete entity, in which knowledge of
this emerging technology can be integrated together to form the framework of a design tool …

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 …

In evolutionary computation, the fitness function normally measures progress toward an
objective in the search space, effectively acting as an objective function. Through deception …

Genetic algorithms have been used in science and engineering as adaptive algorithms for
solving practical problems and as computational models of natural evolutionary systems …

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 …

This tutorial covers the canonical genetic algorithm as well as more experimental forms of
genetic algorithms, including parallel island models and parallel cellular genetic algorithms …

Neural networks are a computing paradigm that is finding increasing attention among
computer scientists. In this book, theoretical laws and models previously scattered in the …

This Third Edition provides the latest tools and techniques that enable computers to learn
The Third Edition of this internationally acclaimed publication provides the latest theory and …

The particle swarm optimizer (PSO) is a stochastic, population-based optimization technique
that can be applied to a wide range of problems, including neural network training. This …

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 …