Associate Professor Tsung-Che Chiang

Department of Computer Science and Information Engineering
National Taiwan Normal University

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Chen-Yu Lee, Jia-Fong Yeh, Tsung-Che Chiang, A many-objective evolutionary algorithm with reference point-based and vector angle-based selection, Proc. of the Eleventh International Conference on Genetic and Evolutionary Computing (ICGEC 2017), pp. 3-11, Kaohsiung, Taiwan, November 6-8, 2017.

Full text: Official version; Unedited version

Presentation slides

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.