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...

Full description

Bibliographic Details

Published in:	Evolutionary computation Vol. 26; no. 4; p. 621
Main Authors:	Bezerra, Leonardo C T, López-Ibáñez, Manuel, Stützle, Thomas
Format:	Journal Article
Language:	English
Published:	United States 2018
Subjects:	automatic algorithm configuration performance assessment Multi-objective optimization evolutionary algorithms
ISSN:	1530-9304, 1530-9304
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!