Synopsis
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 Gà  à ¶teborg, 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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BIOLOGICALLY INSPIRED OPTIMIZATION METHODS : An Introduction, HB
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Biologically Inspired Optimization Methods : An Introduction
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Biologically Inspired Optimization Methods : An Introduction
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ISBN 10: 1845641485
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Biologically Inspired Optimization Methods : An Introduction
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Hardback. Condition: New. Illustrated. The advent of rapid, reliable and cheap computing power over the last decades has transformed many, if not most, fields of science and engineering. The multidisciplinary field of optimization is no exception. First of all, with fast computers, researchers and engineers can apply classical optimization methods to problems of larger and larger size. In addition, however, researchers have developed a host of new optimization algorithms that operate in a rather different way than the classical ones, and that allow practitioners to attack optimization problems where the classical methods are either not applicable or simply too costly (in terms of time and other resources) to apply. This book is intended as a course book for introductory courses in stochastic optimization algorithms (in this book, the terms optimization method and optimization algorithm will be used interchangeably), and it has grown from a set of lectures notes used in courses, taught by the author, at the international master programme Complex Adaptive Systems at Chalmers University of Technology in Goteborg, Sweden.Thus, a suitable audience for this book are third and fourth-year engineering students, with a background in engineering mathematics (analysis, algebra, and probability theory) as well as some knowledge of computer programming. Seller Inventory # LU-9781845641481
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Biologically Inspired Optimization Methods : An Introduction
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