Global Optimization Algorithms - Theory and Application

Author : Thomas Weise, University of Kassel
Publication Date : July 11, 2007
Free License : GNU Free Documentation License, Version 1.2

Excerpts from the Preface:

The e-book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on evolutionary computation, discussing evolutionary algorithms, genetic algorithms, genetic programming, learning classifier systems, evolution strategy, differential evolution, particle swarm optimization, and ant colony optimization. It also elaborates on techniques like simulated annealing, hill climbing, tabu search, and random optimization.

The book can help students by also providing the related background in, for example, stochastic and theoretical computer science. Furthermore, application examples as well as a Java implementation of the introduced methods are discussed. The book may however also be interesting for researchers since it also contains in-depth information in many areas and a set of huge literature references.

This book is updated and improved regularly.

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