Hybrid Metaheuristics: An Emerging Approach to Optimization

Blum, Christian; Maria Jose Blesa Aguilera; Andrea Roli; Michael Samples, Eds

ISBN 10: 354078294X / ISBN 13: 9783540782940

Published by Springer, New York, NY, 2008

About this Item

300 pp. Tightly bound. Corners not bumped. Text is free of markings. NOTE: The word "USED"is neatly stamped on top fore-edge. No ownership markings. Published without dust jacket.

Seller Inventory # 087309

Bibliographic Details

• Title: Hybrid Metaheuristics: An Emerging Approach to Optimization
• Publisher: Springer, New York, NY
• Publication Date: 2008
• Language: English
• ISBN 10: 354078294X
• ISBN 13: 9783540782940
• Binding: Hardcover
• Condition: Very Good Plus
• Dust Jacket Condition: Printed Boards

About this title

Synopsis

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.