@inproceedings{ab094360e1184afbbd6bca55d1acfc2a,
title = "SMS-EMOA with multiple dynamic reference points",
abstract = "Over the past decades, evolutionary multi-objective optimization algorithms have shown their strength on solving the multi-objective optimization problems. The S-Metric Selection Evolutionary Multiobjective Optimization Algorithm (SMS-EMOA) is a state-of-the-art algorithm which uses the hypervolume indicator as selection criterion and performs well in finding well distributed solutions to approximate the Pareto front. In this paper, the concept of multiple dynamic reference points is integrated to the SMS-EMOA which can balance the trade-off of exploration and exploitation by changing the number of reference points. This way it combines concepts of indicator based and decomposition based EMOA design in a promising manner. The proposed algorithm is compared with other well established EMOA on the classical ZDT benchmark which have 5 different test problems with two objectives. The results show that SMS-EMOA with multiple dynamic reference points outperforms other state-of-the-art algorithms, including SMS-EMOA, by covering more hypervolume which means it has a better approximation of the Pareto front.",
keywords = "dynamic reference points, hypervolume indicator, multi-objective optimization, reference points, SMS-EMOA",
author = "Zhiwei Yang and Hao Wang and Kaifeng Yang and Thomas Back and Michael Emmerich",
note = "Funding Information: Zhiwei Yang acknowledges financial support from China Scholarship Council (CSC), grant No. 201206110020 and National Natural Science Foundation of China, Grant No.71571185, No.71401170 and No. 61203180. Publisher Copyright: {\textcopyright} 2016 IEEE.; 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016 ; Conference date: 13-08-2016 Through 15-08-2016",
year = "2016",
month = oct,
day = "19",
doi = "10.1109/FSKD.2016.7603187",
language = "English",
series = "2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "282--288",
editor = "Jiayi Du and Chubo Liu and Kenli Li and Lipo Wang and Zhao Tong and Maozhen Li and Ning Xiong",
booktitle = "2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016",
address = "United States",
}