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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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Sanhueza, Claudio, Jimenez, Francia, Berretta, Regina, Moscato, Pablo
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 27.06.2017
Subjects:	Algorithms Evolutionary algorithms Manufacturing cells Mopping Multiple cost functions Multiple objective analysis Operations research Optimization Traveling salesman problem
ISSN:	2331-8422
Online Access:	Get full text
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