Evolutionary Computation : Theory and Applications

Theory and Applications

By: Xin Yao (Editor)

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Hardcover | 1 December 1998

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Hardcover
376 Pages

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22.86 x 16.51 x 3.18

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Evolutionary computation is the study of computational systems which use ideas and get inspirations from natural evolution and adaptation. This book is devoted to the theory and applications of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can be divided into four major parts: introduction, theory, evolutionary optimisation, and evolutionary learning. Each part consists of several chapters which present an in-depth discussion of selected topics. The emphasis of this book is on problem solving techniques. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection has enabled us to incorporate many good ideas in more established fields into evolutionary algorithms so that we are not reinventing wheels. The book is aimed at a wide range of readers. It does not require previous exposure to the field of evolutionary computation since introductory material is included. It should be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, operations research, and most engineering fields should find it of interest.

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Mathematical Theory of Computation Machine Learning Science Biology, Life Sciences Life Sciences in General Evolution Booktopia Publisher Services

World Scientific Publishing

Preface
Acknowledgements
List of Contributors
Introduction	p. 1
Evolutionary Computation in Behavior Engineering	p. 37
A General Method for Incremental Self-improvement and Multi-agent Learning	p. 81
Teacher: A Genetics-Based System for Learning and for Generalizing Heuristics	p. 124
Automatic Discovery of Protein Motifs Using Genetic Programming	p. 171
The Role of Self Organization in Evolutionary Computations	p. 198
Virus-Evolutionary Genetic Algorithm and Its Application to Traveling Salesman Problem	p. 235
Hybrid Evolutionary Optimization Algorithm for Constrained Problems	p. 256
CAM-BRAIN - The Evolutionary Engineering of a Billion Neuron Artificial Brain	p. 296
An Evolutionary Approach to the N-Player Iterated Prisoner's Dilemma Game	p. 331
Index	p. 359
Table of Contents provided by Blackwell. All Rights Reserved.

Evolutionary Computation : Theory and Applications

Theory and Applications

At a Glance

Hardcover

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How to return your order

Defective items

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