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An Intensive Search Algorithm for the Quadratic Assignment Problem
Volume 11, Issue 2 (2000), pp. 145–162
Alfonsas Misevičius  

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https://doi.org/10.3233/INF-2000-11204
Pub. online: 1 January 2000      Type: Research Article     

Received
1 March 2000
Published
1 January 2000

Abstract

Many heuristics, such as simulated annealing, genetic algorithms, greedy randomized adaptive search procedures are stochastic. In this paper, we propose a deterministic heuristic algorithm, which is applied to the quadratic assignment problem. We refer this algorithm to as intensive search algorithm (or briefly intensive search). We tested our algorithm on the various instances from the library of the QAP instances – QAPLIB. The results obtained from the experiments show that the proposed algorithm appears superior, in many cases, to the well-known algorithm – simulated annealing.

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Keywords
heuristics intensive search quadratic assignment problem

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INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
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