Recent Advances in Memetic Algorithms (Studies in Fuzziness and Soft Computing)
Contributors: William E. Hart (Editor); N. Krasnogor (Editor); J.E. Smith (Editor)
Edition: 1 edition
Publisher: Springer
Published: November 23, 2004
Language: eng
Format: Hardcover
Number of pages: 408
ISBN-13: 9783540229049
Subjects: Probability & statistics; Genetic algorithms; Artificial Intelligence - General; Science; Mathematics; Science/Mathematics; Mathematical Physics; Applied; Artificial Intelligence; Evolutionary Computation; Hybrid Genetic Algorithms; Hybrid Optimization; Mathematics / Applied; Memetic Algorithms; Evolutionary programming (Comp; Evolutionary programming (Computer science)
First sentence: Memetic Evolutionary Algorithms (MAs) are a class of stochastic heuristics for global optimization which combine the parallel global search nature of Evolutionary Algorithms with Local Search to improve individual solutions.