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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.
Evolutionary Algorithms: Revisited.- A Novel Evolution Strategy Algorithm.- 3. 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.- A. Definitions from Probability Theory and Statistics.- B. C-Language Source Code of the NES Algorithm.- C. Convergence Behavior of Evolution Strategies.
Posted June 5, 2013