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Titlebook: Combinatorial Optimization; New Frontiers in The Mustafa Akgül,Horst W. Hamacher,Süleyman Tüfek?i Conference proceedings 1992 Springer-Verl

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書目名稱Combinatorial Optimization
副標(biāo)題New Frontiers in The
編輯Mustafa Akgül,Horst W. Hamacher,Süleyman Tüfek?i
視頻videohttp://file.papertrans.cn/230/229949/229949.mp4
叢書名稱NATO ASI Subseries F:
圖書封面Titlebook: Combinatorial Optimization; New Frontiers in The Mustafa Akgül,Horst W. Hamacher,Süleyman Tüfek?i Conference proceedings 1992 Springer-Verl
描述There have been significant developments in the theory and practice of combinatorial optimization in the last 15 years. This progress has been evidenced by a continuously increasing number of international and local conferences, books and papers in this area. This book is also another contribution to this burgeoning area of operations research and optimization. This volume contains the contributions of the participants of the recent NATO Ad- vanced Study Institute, New Frontiers in the Theory and Practice of Combinatorial Op- timization, which was held at the campus of Bilkent University, in Ankara, Turkey, July 16-29, 1990. In this conference, we brought many prominent researchers and young and promising scientists together to discuss current and future trends in the theory and prac- tice of combinatorial optimization. The Bilkent campus was an excellent environment for such an undertaking. Being outside of Ankara, the capital of Turkey, Bilkent University gave the participants a great opportunity for exchanging ideas and discussing new theories and applications without much distraction. One of the primary goals of NATO ASIs is to bring together a group of scientists and research
出版日期Conference proceedings 1992
關(guān)鍵詞Anwendungen; Applications of Combinatorial Optimization; Combinatorics; Diskrete Optimierung; Kombinator
版次1
doihttps://doi.org/10.1007/978-3-642-77489-8
isbn_softcover978-3-642-77491-1
isbn_ebook978-3-642-77489-8Series ISSN 0258-1248
issn_series 0258-1248
copyrightSpringer-Verlag Berlin Heidelberg 1992
The information of publication is updating

書目名稱Combinatorial Optimization影響因子(影響力)




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




書目名稱Combinatorial Optimization網(wǎng)絡(luò)公開度




書目名稱Combinatorial Optimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Combinatorial Optimization被引頻次




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An Evaluation of Algorithmic Refinements and Proper Data Structures for the Preflow-Push Approach fave been suggested in literature which reduce the computational complexity of this approach. One of these streams is based on ”scaling”..In this paper we shortly review some recently published scaling approaches, and we develop an appropriate data structure by which an efficient storage and use of t
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A Cutting Plane Algorithm for the Single Machine Scheduling Problem with Release Times,ighted sum of the start times. The basic formulation involves start time and sequence determining variables, and lower bounds on the start times. Its linear programming relaxation solves problems in which all release times are equal. For the general problem, good lower bounds are obtained by adding
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The Linear Assignment Problem,y feasible trees. Most of them employ Dijkstra’s shortest path algorithm directly or indirectly. When properly implemented, each has the same complexity: O(..) for dense graphs with simple data structures and O(.. log . + .) for sparse graphs using Fibonacci Heaps.
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On Preference Orders for Sequencing Problems Or, What Hath Smith Wrought?,rm of a preference order. Over the years, the concept of a preference order has been much elaborated. It is now applied to abstract problems in optimal sequencing, with general precedence constraints being dealt with by the technique of modular decomposition. This paper provides a unified and self c
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Combinatorial Optimization Models Motivated by Robotic Assembly Problems, for sequencing the insertion points and locating the storage bins. The . used in this model is generalized and some algorithms for solving this general problem are described. Finally, we discuss . problems as models for multi objective problems..Emphasis will be on results obtained by the author in
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On the Construction of the Set of K-best Matchings and Their Use in Solving Constrained Matching Pr which require the iterative solution of the basic optimization problem over a restricted groundset, i.e. a restricted set of variables. In this paper we discuss the application of these schemes to the problem of finding the set of .-best perfect matchings in a graph. We show that the use of those f
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