Overview
- Presents evolutionary algorithms that can be successfully applied to real-world problems such as robotic control
- Basic understanding of mathematics is sufficient to follow the book
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 147)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management tasks - therefore receiving considerable attention from scientists and engineers during the last decade. This monograph develops and analyzes evolutionary algorithms that can be successfully applied to real-world problems such as robotic control. Although of particular interest to robotic control engineers, Evolutionary Computations also may interest the large audience of researchers, engineers, designers and graduate students confronted with complicated optimization tasks.
Authors and Affiliations
Bibliographic Information
Book Title: Evolutionary Computations
Book Subtitle: New Algorithms and their Applications to Evolutionary Robots
Authors: Keigo Watanabe, M. M. A. Hashem
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-39883-7
Publisher: Springer Berlin, Heidelberg
-
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-20901-0Published: 05 March 2004
Softcover ISBN: 978-3-642-05887-5Published: 15 December 2010
eBook ISBN: 978-3-540-39883-7Published: 02 November 2012
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIX, 172
Topics: Robotics and Automation, Mathematical and Computational Engineering, Artificial Intelligence, Control, Robotics, Mechatronics