Variable block insertion heuristic for the quadratic assignment problem
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Date
2017
Authors
M. Fatih Tasgetiren
Quanke Pan
Yucel Yilmaz Ozturkoglu
Özlem Koçtas Çotur
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The aim of this paper is to apply the variable block insertion heuristic (VBIH) algorithm recently proposed in the literature for solving the quadratic assignment problem (QAP). The VBIH algorithm is concerned with making block moves in a given solution. As a local search in this paper the VNST is employed from the literature to be applied to a solution obtained after several block moves. Besides the single-solution based VBIH we also propose a populated VBIH (PVBIH) in this paper. The proposed algorithms were evaluated on quadratic assignment problem instances arising from real life problems as well as on a number of benchmark instances from the QAPLIB. The computational results show that the proposed algorithms are very effective in solving both types of instances. All PCB instances are further improved. © 2017 Elsevier B.V. All rights reserved.
Description
Keywords
Quadratic Assignment Problem, Variable Block Insertion Heuristic, Variable Neighborhood Search, Benchmarking, Evolutionary Algorithms, Optimization, Polychlorinated Biphenyls, Computational Results, Local Search, Quadratic Assignment Problems, Real-life Problems, Variable Block Insertion Heuristic, Variable Neighborhood Search, Combinatorial Optimization, Benchmarking, Evolutionary algorithms, Optimization, Polychlorinated biphenyls, Computational results, Local search, Quadratic assignment problems, Real-life problems, Variable block insertion heuristic, Variable neighborhood search, Combinatorial optimization
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
3
Source
2017 IEEE Congress on Evolutionary Computation CEC 2017
Volume
Issue
Start Page
1765
End Page
1770
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Scopus : 5
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