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Information Journal Paper

Title

EFFECTIVE HEURISTICS AND META-HEURISTICS FOR THE QUADRATIC ASSIGNMENT PROBLEM WITH TUNED PARAMETERS AND ANALYTICAL COMPARISONS

Pages

  1-9

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.

Cites

References

Cite

APA: Copy

BASHIRI, MAHDI, & KARIMI, HOSSEIN. (2012). EFFECTIVE HEURISTICS AND META-HEURISTICS FOR THE QUADRATIC ASSIGNMENT PROBLEM WITH TUNED PARAMETERS AND ANALYTICAL COMPARISONS. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 8(8), 1-9. SID. https://sid.ir/paper/309896/en

Vancouver: Copy

BASHIRI MAHDI, KARIMI HOSSEIN. EFFECTIVE HEURISTICS AND META-HEURISTICS FOR THE QUADRATIC ASSIGNMENT PROBLEM WITH TUNED PARAMETERS AND ANALYTICAL COMPARISONS. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2012;8(8):1-9. Available from: https://sid.ir/paper/309896/en

IEEE: Copy

MAHDI BASHIRI, and HOSSEIN KARIMI, “EFFECTIVE HEURISTICS AND META-HEURISTICS FOR THE QUADRATIC ASSIGNMENT PROBLEM WITH TUNED PARAMETERS AND ANALYTICAL COMPARISONS,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 8, no. 8, pp. 1–9, 2012, [Online]. Available: https://sid.ir/paper/309896/en

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