A Large-Scale Experimental Evaluation of High-Performing Multi- and Many-Objective Evolutionary Algorithms

Research on multi-objective evolutionary algorithms (MOEAs) has produced over the past decades a large number of algorithms and a rich literature on performance assessment tools to evaluate and compare them. Yet, newly proposed MOEAs are typically compared against very few, often a decade older MOEA...

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Veröffentlicht in:	Evolutionary computation Jg. 26; H. 4; S. 621
Hauptverfasser:	Bezerra, Leonardo C T, López-Ibáñez, Manuel, Stützle, Thomas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 2018
Schlagworte:	automatic algorithm configuration performance assessment Multi-objective optimization evolutionary algorithms
ISSN:	1530-9304, 1530-9304
Online-Zugang:	Weitere Angaben
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