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Item Details
Title: INTRODUCTION TO EVOLUTIONARY ALGORITHMS
By: Xinjie Yu, Mitsuo Gen
Format: Hardback

List price: £149.99


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ISBN 10: 184996128X
ISBN 13: 9781849961288
Publisher: SPRINGER LONDON LTD
Edition: 2010 ed.
Series: Decision Engineering
Pages: 422
Description: Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.
Synopsis: Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: * genetic algorithms, * differential evolution, * swarm intelligence, and * artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students.Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.
Illustrations: 168 black & white illustrations, 15 black & white tables, biography
Publication: UK
Imprint: Springer London Ltd
Returns: Returnable
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