Wang, Zhenkun and Zhang, Qingfu and Gong, Maoguo and Zhou, Aimin (2014) A replacement strategy for balancing convergence and diversity in MOEA/D. In: 2014 IEEE Congress on Evolutionary Computation (CEC), 2014-07-06 - 2014-07-11.
Wang, Zhenkun and Zhang, Qingfu and Gong, Maoguo and Zhou, Aimin (2014) A replacement strategy for balancing convergence and diversity in MOEA/D. In: 2014 IEEE Congress on Evolutionary Computation (CEC), 2014-07-06 - 2014-07-11.
Wang, Zhenkun and Zhang, Qingfu and Gong, Maoguo and Zhou, Aimin (2014) A replacement strategy for balancing convergence and diversity in MOEA/D. In: 2014 IEEE Congress on Evolutionary Computation (CEC), 2014-07-06 - 2014-07-11.
Abstract
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 Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 07 Aug 2015 09:30 |
| Last Modified: | 23 Sep 2022 18:48 |
| URI: | http://repository.essex.ac.uk/id/eprint/14477 |