Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems

Recently the inverted generational distance (IGD) measure has been frequently used for performance evaluation of evolutionary multi-objective optimization (EMO) algorithms on many-objective problems. When the IGD measure is used to evaluate an obtained solution set of a many-objective problem, we ha...

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Vydané v:	2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) s. 170 - 177
Hlavní autori:	Ishibuchi, Hisao, Masuda, Hiroyuki, Tanigaki, Yuki, Nojima, Yusuke
Médium:	Konferenčný príspevok..
Jazyk:	English Japanese
Vydavateľské údaje:	IEEE 01.12.2014
Predmet:	Approximation algorithms Approximation methods Evolutionary multi-objective optimization (EMO) inverted generational distance (IGD) many-objective optimization Optimization Performance evaluation performance measures Vectors Visualization
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