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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Veröffentlicht in:	2017 IEEE Congress on Evolutionary Computation (CEC) S. 1103 - 1110
Hauptverfasser:	Sanhueza, Claudio, Jimenez, Francia, Berretta, Regina, Moscato, Pablo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2017
Schlagworte:	Algorithm design and analysis Evolutionary computation Memetic Algorithms Memetics Multi-Objective Optimization Optimization Parallel Island Model Sociology Statistics Topology
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