DocumentCode
575713
Title
A hybrid strategy for the quadratic assignment problem
Author
Lv, Congying
Author_Institution
Coll. of Comput. & Inf. Eng., Nanyang Inst. of Technol., Nanyang, China
Volume
2
fYear
2012
fDate
20-21 Oct. 2012
Firstpage
31
Lastpage
34
Abstract
Quadratic assignment problem is one of the classical NP- hard problems in combinatorial optimization field. A hybrid strategy for ant colony algorithm and Taboo search algorithm are proposed. Ant colony algorithm is good for finding the best local solution, whereas its global search depended on selection of the evaporation coefficient. Taboo search algorithm has a strong global search, and but its local search is susceptible to the effect of dispersion. To take full advantage of the advantages of these two algorithms, the paper uses a combination of the two algorithms. The experimental results show the proposed hybrid strategy is feasible and efficient.
Keywords
ant colony optimisation; combinatorial mathematics; computational complexity; search problems; NP-hard problems; ant colony algorithm; combinatorial optimization field; dispersion effect; evaporation coefficient selection; global search; hybrid strategy; local search; quadratic assignment problem; taboo search algorithm; Taboo search; ant colony algorithm; hybrid strategy; quadratic assignment problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4673-1932-4
Type
conf
DOI
10.1109/ICIII.2012.6339770
Filename
6339770
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