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Regularity Model for Noisy Multiobjective Optimization

Wang, H and Zhang, Q and Jiao, L and Yao, X (2016) 'Regularity Model for Noisy Multiobjective Optimization.' IEEE Transactions on Cybernetics, 46 (9). 1997 - 2009. ISSN 2168-2267

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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.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 09 Aug 2016 13:58
Last Modified: 07 Apr 2021 10:15

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