PasMoQAP: A Parallel Asynchronous Memetic Algorithm for solving the Multi-Objective Quadratic Assignment Problem

Multi-Objective Optimization Problems (MOPs) have attracted growing attention during the last decades. Multi-Objective Evolutionary Algorithms (MOEAs) have been extensively used to address MOPs because are able to approximate a set of non-dominated high-quality solutions. The Multi-Objective Quadrat...

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Vydané v:	arXiv.org
Hlavní autori:	Sanhueza, Claudio, Jimenez, Francia, Berretta, Regina, Moscato, Pablo
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 27.06.2017
Predmet:	Algorithms Evolutionary algorithms Manufacturing cells Mopping Multiple cost functions Multiple objective analysis Operations research Optimization Traveling salesman problem
ISSN:	2331-8422
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