Evolutionary Computations

New Algorithms and their Applications to Evolutionary Robots

Keigo Watanabe, M.M.A. Hashem

172 pages, parution le 06/04/2004

Ajouter à une liste

Indisponible

Résumé

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.

Written for:
Researchers, engineers, graduate students in optimization and computational intelligence

Sommaire

Evolutionary Algorithms: Revisited
A Novel Evolution Strategy Algorithm
Evolutionary Optimization of Constrained Problems
An Incest Prevented Evolution Strategy Algorithm
Evolutionary Solution of Optimal Control Problems
Evolutionary Design of Robot Controllers
Evolutionary Behavior-Based Control of Mobile Robots
Evolutionary Trajectory Planning of Autonomous Robots
Definitions from Probability Theory and Statistics
C-Language Source Code of the NES Algorithm
Convergence Behavior of Evolution Strategies

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Keigo Watanabe, M.M.A. Hashem
Parution	06/04/2004
Nb. de pages	172
Format	16 x 24
Couverture	Broché
Poids	400g
Intérieur	Noir et Blanc
EAN13	9783540209010