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

• Published in: 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) pp. 170 - 177
• Main Authors: Ishibuchi, Hisao, Masuda, Hiroyuki, Tanigaki, Yuki, Nojima, Yusuke
• Format: Conference Proceeding
• Language: English; Japanese
• Published: IEEE 01.12.2014
• Subjects: Approximation algorithms; Approximation methods; Evolutionary multi-objective optimization (EMO); inverted generational distance (IGD); many-objective optimization; Optimization; Performance evaluation; performance measures; Vectors; Visualization

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...