Publication detail

Heuristic approaches to stochastic quadratic assignment problem: VO and MM cases

POPELA, P. MATOUŠEK, R. KŮDELA, J.

Original Title

Heuristic approaches to stochastic quadratic assignment problem: VO and MM cases

Type

conference paper

Language

English

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.

Keywords

Metaheuristic; Quadratic assignment problem; Stochastic quadratic assignment problem; VO and MM deterministic reformulations

Authors

POPELA, P.; MATOUŠEK, R.; KŮDELA, J.

Released

8. 6. 2016

Publisher

Brno University of Technology

Location

Brno, Czech Republic

ISBN

978-80-214-5365-4

Book

Proceedings of 22nd International Conference on Soft Computing MENDEL 2016

Edition number

2016

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

2016

State

Czech Republic

Pages from

117

Pages to

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",
  journal="Mendel Journal series",
  volume="2016",
  number="2016",
  pages="117--122",
  publisher="Brno University of Technology",
  address="Brno, Czech Republic",
  isbn="978-80-214-5365-4",
  issn="1803-3814"
}