Solving Quadratic Assignment Problems with Rectangular Distances and Integer Programming PDF Download
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Author: Jsun Y. Wong
Publisher:
ISBN:
Category :
Languages : en
Pages : 216
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Author: Jsun Y. Wong
Publisher:
ISBN:
Category :
Languages : en
Pages : 216
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Author: D. Hausmann
Publisher: Springer Science & Business Media
ISBN: 3642463835
Category : Business & Economics
Languages : en
Pages : 326
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Author: Panos M. Pardalos
Publisher: American Mathematical Soc.
ISBN: 9780821870624
Category : Mathematics
Languages : en
Pages : 380
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Book Description
The methods described here include eigenvalue estimates and reduction techniques for lower bounds, parallelization, genetic algorithms, polyhedral approaches, greedy and adaptive search algorithms.
Author:
Publisher:
ISBN:
Category : Logistics, Naval
Languages : en
Pages : 1180
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Author: Dileep R. Sule
Publisher: CRC Press
ISBN: 9780203910405
Category : Business & Economics
Languages : en
Pages : 480
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An introduction to pragmatic methods for solving complex problems in facilities location: choosing from among known feasible sites or a broad range described as an area, placing facilities, and assigning customers. It emphasizes careful location and customer allocation to determine optimum use of time and cost - improving flow of materials and serv
Author: W. Domschke
Publisher: Springer Science & Business Media
ISBN: 3662024470
Category : Business & Economics
Languages : en
Pages : 142
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Hector J. Carlo
Publisher:
ISBN:
Category :
Languages : en
Pages : 602
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Author: E. Cela
Publisher: Springer Science & Business Media
ISBN: 1475727879
Category : Mathematics
Languages : en
Pages : 296
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Book Description
The quadratic assignment problem (QAP) was introduced in 1957 by Koopmans and Beckmann to model a plant location problem. Since then the QAP has been object of numerous investigations by mathematicians, computers scientists, ope- tions researchers and practitioners. Nowadays the QAP is widely considered as a classical combinatorial optimization problem which is (still) attractive from many points of view. In our opinion there are at last three main reasons which make the QAP a popular problem in combinatorial optimization. First, the number of re- life problems which are mathematically modeled by QAPs has been continuously increasing and the variety of the fields they belong to is astonishing. To recall just a restricted number among the applications of the QAP let us mention placement problems, scheduling, manufacturing, VLSI design, statistical data analysis, and parallel and distributed computing. Secondly, a number of other well known c- binatorial optimization problems can be formulated as QAPs. Typical examples are the traveling salesman problem and a large number of optimization problems in graphs such as the maximum clique problem, the graph partitioning problem and the minimum feedback arc set problem. Finally, from a computational point of view the QAP is a very difficult problem. The QAP is not only NP-hard and - hard to approximate, but it is also practically intractable: it is generally considered as impossible to solve (to optimality) QAP instances of size larger than 20 within reasonable time limits.
Author: United States. Defense Logistics Studies Information Exchange
Publisher:
ISBN:
Category : Military research
Languages : en
Pages : 1140
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