@inproceedings{f73f6357d61b474a9fde6216a6d72b02,
title = "A many-objective evolutionary algorithm with reference point-based and vector angle-based selection",
abstract = "In this paper we proposed a many-objective evolutionary algorithm by combining the reference point-based selection in NSGA-III and the vector angle-based selection in VaEA. Performance of the proposed algorithm is verified by testing on the negative version of four DTLZ functions. The proposed algorithm is better than NSGA-III and is comparable to VaEA in terms of IGD. Besides, the proposed algorithm is more robust and can expand the front better.",
keywords = "EMO, Evolutionary algorithm, Many-objective, Multiobjective, NSGA-III",
author = "Lee, {Chen Yu} and Yeh, {Jia Fong} and Chiang, {Tsung Che}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 11th International Conference on Genetic and Evolutionary Computing, 2017 ; Conference date: 06-11-2017 Through 08-11-2017",
year = "2018",
doi = "10.1007/978-981-10-6487-6_1",
language = "English",
isbn = "9789811064869",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "3--11",
editor = "Shu-Chuan Chu and Lin, {Jerry Chun-Wei} and Chien-Ming Chen and Jeng-Shyang Pan",
booktitle = "Genetic and Evolutionary Computing - Proceedings of the 11th International Conference on Genetic and Evolutionary Computing",
}