Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches

Nonfiction, Computers, Advanced Computing, Information Technology, Science & Nature, Mathematics, General Computing
Cover of the book Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches by , IGI Global
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Author: ISBN: 9781466624283
Publisher: IGI Global Publication: October 31, 2012
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781466624283
Publisher: IGI Global
Publication: October 31, 2012
Imprint: Information Science Reference
Language: English
Developments 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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Developments 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.

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