The Quadratic Assignment Problem - Theory and Algorithms (Hardcover, 1998 ed.)

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.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Combinatorial Optimization, 1
Release date:	2001
First published:	1998
Authors:	E. Cela
Dimensions:	234 x 156 x 19mm (L x W x T)
Format:	Hardcover
Pages:	287
Edition:	1998 ed.
ISBN-13:	978-0-7923-4878-8
Categories:	Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Computing & IT > Computer programming > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Promotions
LSN:	0-7923-4878-8
Barcode:	9780792348788

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