Hybrid Metaheuristics: An Emerging Approach to Optimization

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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.

Author(s): Christian Blum, Maria Jose Blesa Aguilera, Andrea Roli, Michael Sampels
Series: Studies in Computational Intelligence
Edition: 1
Publisher: Springer
Year: 2008

Language: English
Pages: 300