Maurizio Taiuti

Linkage In Evolutionary Computation

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Linkage In Evolutionary ComputationISBN13:9783540850670ISBN10:3540850678Author:Chen, Ying-Ping (Editor)Description:In Recent Years, The Issue Of Linkage In Geas Has Garnered Greater Attention And Recognition From Researchers Conventional Approaches That Rely Much On Ad Hoc Tweaking Of Parameters To Control The Search By Balancing The Level Of Exploitation And Exploration Are Grossly Inadequate As Shown In The Work Reported Here, Such Parameters Tweaking Based Approaches Have Their Limits; They Can Be Easily Fooled By Cases Of Triviality Or Peculiarity Of The Class Of Problems That The Algorithms Are Designed To Handle Furthermore, These Approaches Are Usually Blind To The Interactions Between The Decision Variables, Thereby Disrupting The Partial Solutions That Are Being Built Up Along The Way Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:2008-12-01Weight:1.85 lbsDimensions:1.3'' H x 9.3'' L x 6.2'' WNumber of Pages:486Language:English

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Linkage In Evolutionary Computation

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Book Title: Linkage In Evolutionary Computation

Item Length: 9.3in

Item Width: 6.1in

Author: Ying-Ping Chen

Publication Name: Linkage in Evolutionary Computation

Format: Hardcover

Language: English

Publisher: Springer Berlin / Heidelberg

Publication Year: 2008

Series: Studies in Computational Intelligence Ser.

Type: Textbook

Item Weight: 32.1 Oz

Number of Pages: Xii, 488 Pages

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