Variable Block Insertion Heuristic for the Quadratic Assignment Problem
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Date
2017
Authors
M. Fatih Tasgetiren
Quan-Ke Pan
Yucel Ozturkoglu
Ozlem Koctas Cotur
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
Yes
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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.
Description
Keywords
quadratic assignment problem, variable block insertion heuristic, variable neighborhood search, TOTAL WEIGHTED TARDINESS, ITERATED LOCAL SEARCH, DEPENDENT SETUP TIMES, SINGLE-MACHINE, NEIGHBORHOOD SEARCH, GENETIC ALGORITHM, OPTIMIZATION, MINIMIZATION, LOCATION, HYBRID, Quadratic Assignment Problem, Variable Neighborhood Search, Variable Block Insertion Heuristic
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
IEEE Congress on Evolutionary Computation (CEC)
Volume
Issue
Start Page
1765
End Page
1770
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Citations
Scopus : 5
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Mendeley Readers : 8
SCOPUS™ Citations
5
checked on Apr 10, 2026
Web of Science™ Citations
4
checked on Apr 10, 2026
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