Read Hybrid Metaheuristics: An Emerging Approach to Optimization (Studies in Computational Intelligence Book 114)

Hybrid Metaheuristics: An Emerging Approach to Optimization (Studies in Computational Intelligence Book 114)

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Description:Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming.The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Hybrid Metaheuristics: An Emerging Approach to Optimization (Studies in Computational Intelligence Book 114). To get started finding Hybrid Metaheuristics: An Emerging Approach to Optimization (Studies in Computational Intelligence Book 114), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 3540782958

Description: Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming.The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Hybrid Metaheuristics: An Emerging Approach to Optimization (Studies in Computational Intelligence Book 114). To get started finding Hybrid Metaheuristics: An Emerging Approach to Optimization (Studies in Computational Intelligence Book 114), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Hybrid Metaheuristics: An Emerging Approach to Optimization (Studies in Computational Intelligence Book 114)

Hybrid Metaheuristics: An Emerging Approach to Optimization (Studies in Computational Intelligence Book 114)

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