Hybrid Metaheuristics
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Hybrid Metaheuristics
Author | : Christian Blum |
Publisher | : Springer |
Total Pages | : 294 |
Release | : 2008-06-24 |
Genre | : Technology & Engineering |
ISBN | : 3540782958 |
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Optimization problems are of great importance across a broad range of fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. This 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. The authors involved in this book are among the top researchers in their domain.
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Language: en
Pages: 294
Pages: 294
Type: BOOK - Published: 2008-06-24 - Publisher: Springer
Optimization problems are of great importance across a broad range of fields. They can be tackled, for example, by approximate algorithms such as metaheuristics
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This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introducto
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Pages: 464
Type: BOOK - Published: 2012-07-31 - Publisher: Springer
The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and
Language: en
Pages: 213
Pages: 213
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