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 fom 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.
Author(s): Prof. Keigo Watanabe, Prof. M. M. A. Hashem (auth.)
Series: Studies in Fuzziness and Soft Computing 147
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2004
Language: English
Pages: 172
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Control, Robotics, Mechatronics
Front Matter....Pages i-xix
Evolutionary Algorithms: Revisited....Pages 1-19
A Novel Evolution Strategy Algorithm....Pages 21-52
Evolutionary Optimization of Constrained Problems....Pages 53-64
An Incest Prevented Evolution Strategy Algorithm....Pages 65-75
Evolutionary Solution of Optimal Control Problems....Pages 77-87
Evolutionary Design of Robot Controllers....Pages 89-102
Evolutionary Behavior-Based Control of Mobile Robots....Pages 103-112
Evolutionary Trajectory Planning of Autonomous Robots....Pages 113-137
Back Matter....Pages 139-172
