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Titlebook: Matheuristics; Hybridizing Metaheur Vittorio Maniezzo,Thomas Stützle,Stefan Vo? Book 2010 Springer-Verlag US 2010 Sage.algorithms.calculus.

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發(fā)表于 2025-3-21 17:38:57 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Matheuristics
副標題Hybridizing Metaheur
編輯Vittorio Maniezzo,Thomas Stützle,Stefan Vo?
視頻videohttp://file.papertrans.cn/628/627708/627708.mp4
概述Presents the latest research on using mathematical programming in metaheuristics frameworks.Represents a major advance in complex problem-solving methodologies.Presents breakthroughs in using Mixed In
叢書名稱Annals of Information Systems
圖書封面Titlebook: Matheuristics; Hybridizing Metaheur Vittorio Maniezzo,Thomas Stützle,Stefan Vo? Book 2010 Springer-Verlag US 2010 Sage.algorithms.calculus.
描述.Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization...This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems..
出版日期Book 2010
關鍵詞Sage; algorithms; calculus; genetic algorithms; linear optimization; mathematical optimization; mathematic
版次1
doihttps://doi.org/10.1007/978-1-4419-1306-7
isbn_softcover978-1-4419-1305-0
isbn_ebook978-1-4419-1306-7Series ISSN 1934-3221 Series E-ISSN 1934-3213
issn_series 1934-3221
copyrightSpringer-Verlag US 2010
The information of publication is updating

書目名稱Matheuristics影響因子(影響力)




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MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics,ing (almost always) proven optimal solutions to the knapsack constrained maximum spanning tree problem and (ii) a column generation approach for the periodic vehicle routing problem with time windows in which the pricing problem is solved by local search based metaheuristics.
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1934-3221 , Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems..978-1-4419-1305-0978-1-4419-1306-7Series ISSN 1934-3221 Series E-ISSN 1934-3213
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