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POPELA, P. MATOUŠEK, R.
Originální název
Stochastic Quadratic Assignment problem: EV and EO reformulations solved by HC12
Typ
článek v časopise ve Scopus, Jsc
Jazyk
angličtina
Originální abstrakt
The Quadratic Assignment Problem (QAP) is a well known combinatorial optimization problem. Recently, our analysis of several real-world applications has shown us that some of the QAP parameters can be considered as randomly varying. Therefore, we have got the important motivation to include randomness into a mathematical model in a correct way to be further able to study model properties, solve it, and apply obtained results. For this reason, the underlying Stochastic Quadratic Assignment Problem (StoQAP) is formulated by using a stochastic programming approach. The use of stochastic programming allows us to utilize various deterministic reformulations. Two commonly known deterministic reformulations will be discussed in detail i.e. EV (expected value) reformulation and EO (expected objective) reformulation. The paper also introduces results of test computations for the instances of StoQAP by GAMS/CPLEX and original metaheuristic HC12.
Klíčová slova
EV and EO deterministic reformulations, GAMS, HC12, Metaheuristic, Quadratic assignment problem, Stochastic quadratic assignment problem
Autoři
POPELA, P.; MATOUŠEK, R.
Rok RIV
2014
Vydáno
24. 6. 2014
Nakladatel
Brno University of Technology
Místo
Brno
ISSN
1803-3814
Periodikum
Mendel Journal series
Ročník
Číslo
1
Stát
Česká republika
Strany od
13
Strany do
20
Strany počet
8
BibTex
@article{BUT124190, author="Pavel {Popela} and Radomil {Matoušek}", title="Stochastic Quadratic Assignment problem: EV and EO reformulations solved by HC12 ", journal="Mendel Journal series", year="2014", volume="2014", number="1", pages="13--20", issn="1803-3814" }