Publication detail
Heuristic approaches to stochastic quadratic assignment problem: VO and MM cases
POPELA, P. MATOUŠEK, R. KŮDELA, J.
English title
Heuristic approaches to stochastic quadratic assignment problem: VO and MM cases
Type
conference paper
Language
en
Original abstract
The aim of the paper is to build on the previous article, which dealt with heuristic approaches to solving of the so-called EV and EO deterministic reformulations of a stochastic quadratic assignment problem (StoQAP) and focus on the following VO and MM deterministic reformulations. It is known that the deterministic Quadratic Assignment Problem (QAP) belongs to a class of well-known combinatorial optimization problems. Working with several real-world applications we have found that the QAP parameters can also be considered stochastic ones. Thus, we review a Stochastic Quadratic Assignment Problem (StoQAP) as a stochastic program and discuss its suitable deterministic reformulations. The focus is on VO and MM reformulations and results of test computations for the selected instances of StoQAP by metaheuristic are presented.
English abstract
The aim of the paper is to build on the previous article, which dealt with heuristic approaches to solving of the so-called EV and EO deterministic reformulations of a stochastic quadratic assignment problem (StoQAP) and focus on the following VO and MM deterministic reformulations. It is known that the deterministic Quadratic Assignment Problem (QAP) belongs to a class of well-known combinatorial optimization problems. Working with several real-world applications we have found that the QAP parameters can also be considered stochastic ones. Thus, we review a Stochastic Quadratic Assignment Problem (StoQAP) as a stochastic program and discuss its suitable deterministic reformulations. The focus is on VO and MM reformulations and results of test computations for the selected instances of StoQAP by metaheuristic are presented.
Keywords in English
Metaheuristic; Quadratic assignment problem; Stochastic quadratic assignment problem; VO and MM deterministic reformulations
Released
08.06.2016
Publisher
Brno University of Technology
Location
Brno, Czech Republic
ISBN
978-80-214-5365-4
ISSN
1803-3814
Book
Proceedings of 22nd International Conference on Soft Computing MENDEL 2016
Volume
2016
Edition number
2016
Pages from–to
117–122
Pages count
6
BIBTEX
@inproceedings{BUT140671,
author="Pavel {Popela} and Radomil {Matoušek} and Jakub {Kůdela},
title="Heuristic approaches to stochastic quadratic assignment problem: VO and MM cases",
booktitle="Proceedings of 22nd International Conference on Soft Computing MENDEL 2016",
year="2016",
volume="2016",
month="June",
pages="117--122",
publisher="Brno University of Technology",
address="Brno, Czech Republic",
isbn="978-80-214-5365-4",
issn="1803-3814"
}