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Titlebook: Hybrid Metaheuristics; Third International Francisco Almeida,María J. Blesa Aguilera,Michael Conference proceedings 2006 Springer-Verlag

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發(fā)表于 2025-3-21 19:11:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Hybrid Metaheuristics
副標(biāo)題Third International
編輯Francisco Almeida,María J. Blesa Aguilera,Michael
視頻videohttp://file.papertrans.cn/431/430140/430140.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Hybrid Metaheuristics; Third International  Francisco Almeida,María J. Blesa Aguilera,Michael  Conference proceedings 2006 Springer-Verlag
描述The International Workshop on Hybrid Metaheuristics reached its third edition with HM 2006. The active and successful participation in the past editions was a clear indication that the research community on metaheuristics and related areas felt the need for a forum to discuss speci?c aspects of hybridization of metaheuristics. The selection of papers for HM 2006 consolidated some of the mainstream issues that have emerged from the past editions. Firstly, there are prominent examples of e?ective hybrid techniques whose design and implementation were motivated by challenging real-world applications. We believe this is particularly important for two reasons: on the one hand, researchers are conscious that the primary goal of developing algorithms is to solve relevant real-life problems; on the other hand, the path towarde?cient solving methods for practical problems is a source of new outstanding ideas and theories. A second important issue is that the research community on metaheur- tics has become increasingly interested in and open to techniques and methods known from arti?cial intelligence (AI) and operations research (OR). So far, the most representative examples of such integrat
出版日期Conference proceedings 2006
關(guān)鍵詞Performance; algorithmics; algorithms; approximation algorithms; data analysis; data mining; evolutionary
版次1
doihttps://doi.org/10.1007/11890584
isbn_softcover978-3-540-46384-9
isbn_ebook978-3-540-46385-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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發(fā)表于 2025-3-21 21:58:22 | 只看該作者
A Multi-population Parallel Genetic Algorithm for Highly Constrained Continuous Galvanizing Line Sc planning department, and the due date information of each steel coil. If the final schedule includes the violations of some constraints, phase two repairs these violations by using a secondary WIP inventory of steel coils. The developed scheduling system is currently being used in a steel making company with encouraging preliminary results.
板凳
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Using Memory to Improve the VNS Metaheuristic for the Design of SDH/WDM Networks,commercial solver. The problem instances cover a large variety of networks and demand patterns. The analysis carried out in this paper corroborates that there are significant differences between the variable neighborhood search and the hybrid approach.
地板
發(fā)表于 2025-3-22 08:37:15 | 只看該作者
A Reactive Greedy Randomized Variable Neighborhood Tabu Search for the Vehicle Routing Problem withhood Tabu Search hybrid metaheuristic for intensification search. Experimental results on well known benchmark instances show that the suggested method is both efficient and robust in terms of the quality of the solutions produced.
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Conference proceedings 2006ns was a clear indication that the research community on metaheuristics and related areas felt the need for a forum to discuss speci?c aspects of hybridization of metaheuristics. The selection of papers for HM 2006 consolidated some of the mainstream issues that have emerged from the past editions.
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發(fā)表于 2025-3-23 00:34:24 | 只看該作者
An Iterated Local Search Heuristic for a Capacitated Hub Location Problem,an Iterated Local Search scheme. The heuristic turns out to be very effective and the results of the computational experiments show that near-optimal solutions can be derived rapidly for instances of large size.
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Packing Problems with Soft Rectangles,. To find good sequence pairs, we then resort to local search techniques. This is therefore a hybrid of local search and mathematical programming. The resulting algorithm can solve problem instances with up to 50 rectangles in reasonable amount of time.
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