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A replacement strategy for balancing convergence and diversity in MOEA/D

Wang, Z and Zhang, Q and Gong, M and Zhou, A (2014) A replacement strategy for balancing convergence and diversity in MOEA/D. In: UNSPECIFIED, ? - ?.

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Abstract

© 2014 IEEE. This paper studies the replacement schemes in MOEA/D and proposes a new replacement named global replacement. It can improve the performance of MOEA/D. Moreover, trade-offs between convergence and diversity can be easily controlled in this replacement strategy. It also shows that different problems need different trade-offs between convergence and diversity. We test the MOEA/D with this global replacement on three sets of benchmark problems to demonstrate its effectiveness.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014
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: 07 Aug 2015 09:30
Last Modified: 17 Oct 2019 21:15
URI: http://repository.essex.ac.uk/id/eprint/14477

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