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

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Volume Title

Publisher

IEEE

Open Access Color

Green Open Access

Yes

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No
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Average
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Average
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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

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OpenCitations Citation Count
3

Source

IEEE Congress on Evolutionary Computation (CEC)

Volume

Issue

Start Page

1765

End Page

1770
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Scopus : 5

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SCOPUS™ Citations

5

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Web of Science™ Citations

4

checked on Apr 10, 2026

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0.9032

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