|
![]() |
|||
|
||||
OverviewDevelopments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem solving. Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing. Full Product DetailsAuthor: Peng-Yeng Yin (National Chi Nan University, Taiwan)Publisher: Information Science Reference Imprint: Information Science Reference ISBN: 9781283571265ISBN 10: 1283571269 Pages: 376 Publication Date: 01 January 2012 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |