Advances in Metaheuristics for Hard Optimization (Natural Computing Series)
暫譯: 硬優化的元啟發式方法進展(自然計算系列)
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- 出版商: Springer
- 出版日期: 2007-11-19
- 售價: $6,740
- 貴賓價: 9.5 折 $6,403
- 語言: 英文
- 頁數: 481
- 裝訂: Hardcover
- ISBN: 3540729593
- ISBN-13: 9783540729594
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商品描述
Description
Many advances have recently been made in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.
The book gathers contributions related to the following topics: theoretical developments in metaheuristics, adaptation of discrete metaheuristics to continuous optimization, performance comparisons of metaheuristics, cooperative methods combining different approaches, parallel and distributed metaheuristics for multiobjective optimization, software implementations, and real-world applications.
This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing.
商品描述(中文翻譯)
**描述**
最近在元啟發式方法方面取得了許多進展,涵蓋了理論到應用。編輯們都是該領域的領先專家,組織了一支研究團隊,貢獻了21章內容,分為模擬退火、禁忌搜尋、蟻群演算法、演化演算法的一般研究、演化演算法的應用以及元啟發式方法等部分。
本書匯集了與以下主題相關的貢獻:元啟發式方法的理論發展、離散元啟發式方法在連續優化中的適應性、元啟發式方法的性能比較、結合不同方法的合作方法、用於多目標優化的並行和分佈式元啟發式方法、軟體實現以及實際應用。
本書適合優化、啟發式方法、運籌學和自然計算等學科的實務工作者、研究人員和研究生。