%0 Journal Article
%T A new genetic representation for quadratic assignment problem
%A Kratica Jozef
%A To£żi£ż Du£żan
%A Filipovi£ż Vladimir
%A Dugo£żija £żor£że
%J Yugoslav Journal of Operations Research
%D 2011
%I University of Belgrade
%R 10.2298/yjor1102225k
%X In this paper, we propose a new genetic encoding for well known Quadratic Assignment Problem (QAP). The new encoding schemes are implemented with appropriate objective function and modified genetic operators. The numerical experiments were carried out on the standard QAPLIB data sets known from the literature. The presented results show that in all cases proposed genetic algorithm reached known optimal solutions in reasonable time.
%K Genetic algorithm
%K evolutionary computation
%K combinatorial optimization
%K quadratic assignment problem
%U http://www.doiserbia.nb.rs/img/doi/0354-0243/2011/0354-02431102225K.pdf