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A New Genetic Representation for Quadratic Assignment Problem
Yugoslav journal of operations research, Tome 21 (2011) no. 2, p. 225 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

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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.
Classification : 90C59, 68T20, 90e20.
Keywords: Genetic algorithm, evolutionary computation, combinatorial optimization, quadratic assignment problem. 
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     author = {Jozef Kratica and Du\v{s}an To\v{s}i\'c and Vladimir Filipovi\'c and {\DJ}or{\dj}e Dugo\v{s}ija},
     title = {A {New} {Genetic} {Representation} for {Quadratic} {Assignment} {Problem}},
     journal = {Yugoslav journal of operations research},
     pages = {225 },
     year = {2011},
     volume = {21},
     number = {2},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2011_21_2_a5/}
}
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Jozef Kratica; Dušan Tošić; Vladimir Filipović; Đorđe Dugošija. A New Genetic Representation for Quadratic Assignment Problem. Yugoslav journal of operations research, Tome 21 (2011) no. 2, p. 225 . http://geodesic.mathdoc.fr/item/YJOR_2011_21_2_a5/