Presentation 1999/3/19
Analog k-exchange approach for quadratic assignment problems
Hirotaka Niitstuma, Shin Ishii,
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Abstract(in English) In this report, we propose aneural approach to the quadratic assignment problem (QAP). Our new approach is an analog version of k-exchange heuristic method, which exchanges elements whose number is smaller than k in a solution permutation. Since our approach can take a large k value, it realizes a middle-range and a short-range searches simultaneously. Experiments applied to relatively large-scale QAPs show that our approach is comparable to the present champion algorithms. Moreover, our approach can obtain better solutions than the previous champion algorithms for several benchmark problems.
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Keyword(in English) quadratic assignment problem / λ-opt / k-exchange / doubly constrained network
Paper # NC98-165
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Committee NC
Conference Date 1999/3/19(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Analog k-exchange approach for quadratic assignment problems
Sub Title (in English)
Keyword(1) quadratic assignment problem
Keyword(2) λ-opt
Keyword(3) k-exchange
Keyword(4) doubly constrained network
1st Author's Name Hirotaka Niitstuma
1st Author's Affiliation Nara Institute of Science and Technology()
2nd Author's Name Shin Ishii
2nd Author's Affiliation Nara Institute of Science and Technology
Date 1999/3/19
Paper # NC98-165
Volume (vol) vol.98
Number (no) 674
Page pp.pp.-
#Pages 8
Date of Issue