Introduction to Evolutionary Algorithms

Language: English

Published by Springer London Ltd, GB, 2010

184996128X / 9781849961288

Series: Book 13 of 32 - Decision Engineering

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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.…

Seller Inventory # LU-9781849961288

Title
Introduction to Evolutionary Algorithms
Author
Xinjie Yu, Mitsuo Gen
Publisher
Springer London Ltd, GB
Publication year
2010
Condition
New
Binding
Hardback
Language
English
ISBN 10
184996128X
ISBN 13
9781849961288
Edition
2010 ed.
Item weight
771 grams
Dimensions
15.88 x 3.18 x 23.5 cm
Series
Book 13 of 32: Decision Engineering

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London, United Kingdom

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