Biologically Inspired Optimization Methods: An Introduction

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9781845641481: Biologically Inspired Optimization Methods: An Introduction
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Biologically inspired optimization methods constitute a rapidly expanding field of research, with new applications appearing on an almost daily basis, as optimization problems of ever-increasing complexity appear in science and technology. This book provides a general introduction to such optimization methods, along with descriptions of the biological systems upon which the methods are based. The book also covers classical optimization methods, making it possible for the reader to determine whether a classical optimization method or a biologically inspired one is most suitable for a given problem. The book is primarily intended as a course book for students with a background covering basic engineering mathematics and elementary computer programming. Each method is illustrated with several basic examples, as well as more complex examples taken from the research literature. In addition, several exercises are provided, ranging from basic theoretical questions to programming examples. While theoretical results are presented, the book is mainly centered on practical applications of the optimization methods considered.

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About the Author:

Mattias Wahde is a researcher and teacher Adaptive Systems research group Vehicle Safety Division of the Applied Mechanics Department at the Chalmers University of Technology in Göteborg, Sweden, where research focuses on the development of control systems for autonomous robots capable of carrying out a variety of tasks, often tedious or dangerous, that are currently carried out by people. The research is based on biologically inspired computation methods, especially evolutionary algorithms.

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What is particularly valuable is that Wahde does not just present the theories, but also includes applications suitable for the presented methods. These examples help the reader to understand the extent to which the methods can be used in real-life applications. Recommended. --Choice, Vol 46, No 7, March 2009

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