Authors:
- Establishes background to evolutionary algorithms
- Introduces students to cutting-edge evolutionary algorithms
- Enables readers to advance their own research by simulating the application provided in the book
- Includes supplementary material: sn.pub/extras
Part of the book series: Decision Engineering (DECENGIN)
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Table of contents (10 chapters)
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Front Matter
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Evolutionary Algorithms
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Front Matter
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Dealing with Complicated Problems
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Front Matter
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Brief Introduction to Other Evolutionary Algorithms
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Department of Electrical Engineering, Tsinghua University, Beijing, China
Xinjie Yu
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Fuzzy Logic Systems Institute (FLSI), Iizuka, Japan
Mitsuo Gen
About the authors
Bibliographic Information
Book Title: Introduction to Evolutionary Algorithms
Authors: Xinjie Yu, Mitsuo Gen
Series Title: Decision Engineering
DOI: https://doi.org/10.1007/978-1-84996-129-5
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2010
Hardcover ISBN: 978-1-84996-128-8Published: 23 June 2010
Softcover ISBN: 978-1-4471-2569-3Published: 05 September 2012
eBook ISBN: 978-1-84996-129-5Published: 10 June 2010
Series ISSN: 1619-5736
Series E-ISSN: 2197-6589
Edition Number: 1
Number of Pages: XVI, 422
Number of Illustrations: 168 b/w illustrations
Topics: Artificial Intelligence, Data Structures, Complexity, Control, Robotics, Mechatronics, Simulation and Modeling