| 書目名稱 | Nested Partitions Method, Theory and Applications | | 編輯 | Leyuan Shi,Sigurdur ólafsson | | 視頻video | http://file.papertrans.cn/663/662722/662722.mp4 | | 概述 | Nested Partitions (NP) framework combines well-known optimization techniques with problem-specific local search heuristics for increased effectiveness.Emphasizes the solution of real-world problems in | | 叢書名稱 | International Series in Operations Research & Management Science | | 圖書封面 |  | | 描述 | Thesubjectofthisbookisthenested partitions method(NP),arelativelynew optimization method that has been found to be very e?ective solving discrete optimization problems. Such discrete problems are common in many practical applications and the NP method is thus useful in diverse application areas. It can be applied to both operational and planning problems and has been demonstrated to e?ectively solve complex problems in both manufacturing and service industries. To illustrate its broad applicability and e?ectiveness, in this book we will show how the NP method has been successful in solving complex problems in planning and scheduling, logistics and transportation, supply chain design, data mining, and health care. All of these diverse app- cationshaveonecharacteristicincommon:theyallleadtocomplexlarge-scale discreteoptimizationproblemsthatareintractableusingtraditionaloptimi- tion methods. 1.1 Large-Scale Optimization IndevelopingtheNPmethodwewillconsideroptimization problemsthatcan be stated mathematically in the following generic form: minf(x), (1.1) x?X where the solution space or feasible region X is either a discrete or bounded ? set of feasible solutions. We denote a solution | | 出版日期 | Book 2009 | | 關(guān)鍵詞 | Manufacturing; Multimedia; Scheduling; Stochastic Optimization; algorithm; algorithms; combinatorial optim | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-71909-2 | | isbn_softcover | 978-1-4419-4420-7 | | isbn_ebook | 978-0-387-71909-2Series ISSN 0884-8289 Series E-ISSN 2214-7934 | | issn_series | 0884-8289 | | copyright | Springer-Verlag US 2009 |
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