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Titlebook: Combinatorial Optimization; Third International Pierre Fouilhoux,Luis Eduardo Neves Gouveia,Vangel Conference proceedings 2014 Springer In

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書(shū)目名稱Combinatorial Optimization
副標(biāo)題Third International
編輯Pierre Fouilhoux,Luis Eduardo Neves Gouveia,Vangel
視頻videohttp://file.papertrans.cn/230/229961/229961.mp4
概述Includes supplementary material:
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Combinatorial Optimization; Third International  Pierre Fouilhoux,Luis Eduardo Neves Gouveia,Vangel Conference proceedings 2014 Springer In
描述This book constitutes the thoroughly refereed post-conference proceedings of the Third International Symposium on Combinatorial Optimization, ISCO 2014, held in Lisbon, Portugal, in March 2014. The 37 revised full papers presented together with 64 short papers were carefully reviewed and selected from 97 submissions. They present original research on all aspects of combinatorial optimization, such as algorithms and complexity; mathematical programming; operations research; stochastic optimization; graphs and combinatorics.
出版日期Conference proceedings 2014
關(guān)鍵詞algorithm; approximation; branch-and-cut; column generation; combinatorics; graph; metaheuristic; mixed int
版次1
doihttps://doi.org/10.1007/978-3-319-09174-7
isbn_softcover978-3-319-09173-0
isbn_ebook978-3-319-09174-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

書(shū)目名稱Combinatorial Optimization影響因子(影響力)




書(shū)目名稱Combinatorial Optimization影響因子(影響力)學(xué)科排名




書(shū)目名稱Combinatorial Optimization網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Combinatorial Optimization網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Combinatorial Optimization被引頻次




書(shū)目名稱Combinatorial Optimization被引頻次學(xué)科排名




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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/229961.jpg
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https://doi.org/10.1007/978-3-322-94415-3twork flow problems. We show that the function is piecewise hyperbolic, and modify a parametric optimization technique, the ES algorithm, to find this function. The running time of the algorithm is ., when . is a source-sink edge connectivity of our network, . is the number of links, and . is the nu
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https://doi.org/10.1007/978-3-319-01104-2ery bin a cost function that is convex in the total load on this bin. These costs are subtracted from the profits of assigned items, and the task is to find an assignment maximizing the resulting net profit..We show that even restricted cases of this problem remain strongly NP-complete, and identify
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Detectors for Small-Animal SPECT I,. subsets . in . whose intersection size . is maximum. The M.SI problem is NP-hard and hard to approximate. Some applications of the M.SI problem can be found in the literature and, to the best of our knowledge, no exact method was proposed to solve this problem. In this work, we introduce a very ef
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