Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes

Recently, a number of high performance many-objective evolutionary algorithms with systematically generated weight vectors have been proposed in the literature. Those algorithms often show surprisingly good performance on widely used DTLZ and WFG test problems. The performance of those algorithms ha...

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Vydané v:	IEEE transactions on evolutionary computation Ročník 21; číslo 2; s. 169 - 190
Hlavní autori:	Ishibuchi, Hisao, Setoguchi, Yu, Masuda, Hiroyuki, Nojima, Yusuke
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.04.2017
Predmet:	Convergence Decomposition-based evolutionary algorithms Evolutionary computation Maintenance engineering many-objective evolutionary algorithms many-objective optimization many-objective test problems Optimization Performance evaluation Search problems Shape
ISSN:	1089-778X, 1941-0026
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