@inproceedings{3ffd3e42048c426d8971d575db9bfe9d,
title = "A replacement strategy for balancing convergence and diversity in MOEA/D",
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.",
keywords = "MOEA/D, Multiobjective optimization, replacement, selection operator",
author = "Zhenkun Wang and Qingfu Zhang and Maoguo Gong and Aimin Zhou",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Congress on Evolutionary Computation, CEC 2014 ; Conference date: 06-07-2014 Through 11-07-2014",
year = "2014",
month = sep,
day = "16",
doi = "10.1109/CEC.2014.6900319",
language = "英语",
series = "Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2132--2139",
booktitle = "Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014",
address = "美国",
}