Regularity Model for Noisy Multiobjective Optimization

Handing Wang, Qingfu Zhang, Licheng Jiao, Xin Yao

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)
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Abstract

Regularity models have been used in dealing with noise-free multiobjective optimization problems. This paper studies the behavior of a regularity model in noisy environments and argues that it is very suitable for noisy multiobjective optimization. We propose to embed the regularity model in an existing
multiobjective evolutionary algorithm for tackling noises. The proposed algorithm works well in terms of both convergence and diversity. In our experimental studies, we have compared several state-of-the-art of algorithms with our proposed algorithm on benchmark problems with different levels of noises. The experimental results showed the effectiveness of the regularity model on noisy problems, but a degenerated performance on
some noisy-free problems.
Original languageEnglish
Number of pages13
JournalIEEE Transactions on Cybernetics
Issue number99
DOIs
Publication statusE-pub ahead of print - 3 Aug 2015

Bibliographical note

This article has been accepted for inclusion in a future issue of the journal.

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