1
Department of Industrial Engineering, Shahed University, Tehran 3319118651, Iran
2
Department of Industrial Engineering, Shahed University, Tehran, 3319118651, Iran
Abstract
Quadratic assignment problem (QAP) is a well-known problem in the facility location and layout. It belongs to the NP-complete class. There are many heuristic and meta-heuristic methods, which are presented for QAP in the literature. In this paper, we applied 2-opt, greedy 2-opt, 3-opt, greedy 3-opt, and VNZ as heuristic methods and tabu search (TS), simulated annealing, and particle swarm optimization as meta-heuristic methods for the QAP. This research is dedicated to compare the relative percentage deviation of these solution qualities from the best known solution which is introduced in QAPLIB. Furthermore, a tuning method is applied for meta-heuristic parameters. Results indicate that TS is the best in 31% of QAPs, and the IFLS method, which is in the literature, is the best in 58 % of QAPs; these two methods are the same in 11% of test problems. Also, TS has a better computational time among heuristic and meta-heuristic methods.
Bashiri, M., Karimi, H. (2012). Effective heuristics and meta-heuristics for the quadratic assignment problem with tuned parameters and analytical comparisons. Journal of Industrial Engineering, International, 8(1), -.
MLA
Mahdi Bashiri; Hossein Karimi. "Effective heuristics and meta-heuristics for the quadratic assignment problem with tuned parameters and analytical comparisons". Journal of Industrial Engineering, International, 8, 1, 2012, -.
HARVARD
Bashiri, M., Karimi, H. (2012). 'Effective heuristics and meta-heuristics for the quadratic assignment problem with tuned parameters and analytical comparisons', Journal of Industrial Engineering, International, 8(1), pp. -.
VANCOUVER
Bashiri, M., Karimi, H. Effective heuristics and meta-heuristics for the quadratic assignment problem with tuned parameters and analytical comparisons. Journal of Industrial Engineering, International, 2012; 8(1): -.
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