TREE-SEARCH ALGORITHMS FOR QUADRATIC ASSIGNMENT PROBLEMS
Author: JOHN F. PIERCE
Publisher:
Published: 2018
Total Pages: 0
ISBN-13: 9781033588024
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Tree-Search Algorithms for Quadratic Assignment Problems (Classic Reprint)
Author: John F. Pierce
Publisher: Forgotten Books
Published: 2018-02-21
Total Pages: 82
ISBN-13: 9780666104328
DOWNLOAD EBOOKExcerpt from Tree-Search Algorithms for Quadratic Assignment Problems In some contexts there may be constraints applicable to the problem which are not represented in the statement as embodied in (i) For example, there may be a restriction that plant i Ot be 10c3t9d at 3. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Tree-Search Algorithms for Quadratic Assignment Problems
Author: John F Pierce
Publisher: Palala Press
Published: 2015-09-10
Total Pages: 82
ISBN-13: 9781342207968
DOWNLOAD EBOOKThis work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Tree-search Algorithms for Quadratic Assignment Problems
Author: John Franklin Pierce
Publisher:
Published: 1969
Total Pages: 68
ISBN-13:
DOWNLOAD EBOOKThe Quadratic Assignment Problem
Author: E. Cela
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 296
ISBN-13: 1475727879
DOWNLOAD EBOOKThe 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.
Handbook of Combinatorial Optimization
Author: Ding-Zhu Du
Publisher: Springer Science & Business Media
Published: 2006-08-18
Total Pages: 395
ISBN-13: 0387238301
DOWNLOAD EBOOKThis is a supplementary volume to the major three-volume Handbook of Combinatorial Optimization set. It can also be regarded as a stand-alone volume presenting chapters dealing with various aspects of the subject in a self-contained way.
Quadratic Assignment and Related Problems
Author: Panos M. Pardalos
Publisher: American Mathematical Soc.
Published: 1994-01-01
Total Pages: 380
ISBN-13: 9780821870624
DOWNLOAD EBOOKThe methods described here include eigenvalue estimates and reduction techniques for lower bounds, parallelization, genetic algorithms, polyhedral approaches, greedy and adaptive search algorithms.
A Local Search Algorithm for the Quadratic Assignment Problem
Author: Kowatha A. Murthy
Publisher:
Published: 1990
Total Pages: 18
ISBN-13:
DOWNLOAD EBOOKA Computational Comparison of an Improved Pair Assignment Algorithm and a Pair Exclusion Algorithm for the Quadratic Assignment Problem
Author: Theunis H. C. Smith
Publisher:
Published: 1975
Total Pages: 25
ISBN-13:
DOWNLOAD EBOOKThe author proposes (and also tests computationally) a pair assignment algorithm and a pair exclusion algorithm for the quadratic assignment problem (QAP) also known as the problem of assigning facilities to locations. The linear assignment problem relaxation of the QAP (intorduced by Land and Gavett and Plyter) is used and the pair assignment algorithm is essentially the same as that of Gavett and Plyter except that the optimal solution of the linear assignment problem is obtained at each subproblem in the tree search. The pair exclusion algorithm is based on the algorithm presented by Pierce and Crowston.
Evolutionary Computation in Combinatorial Optimization
Author: Jens Gottlieb
Publisher: Springer Science & Business Media
Published: 2004-03-26
Total Pages: 252
ISBN-13: 3540213678
DOWNLOAD EBOOKThis book constitutes the refereed proceedings for the 4th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2004, held in Coimbra, Portugal, in April together with EuroGP 2004 and six workshops on evolutionary computing. The 23 revised full papers presented were carefully reviewed and selected from 86 submissions. Among the topics addressed are evolutionary algorithms as well as metaheuristics like memetic algorithms, ant colony optimization, and scatter search; the papers are dealing with representations, operators, search spaces, adaptation, comparison of algorithms, hybridization of different methods, and theory. Among the combinatorial optimization problems studied are graph coloring, network design, cutting, packing, scheduling, timetabling, traveling salesman, vehicle routing, and various other real-world applications.
