An Efficient and Universal Conical Hypervolume Evolutionary Algorithm in Three or Higher Dimensional Objective Space
An Efficient and Universal Conical Hypervolume Evolutionary Algorithm in Three or Higher Dimensional Objective Space
复制标题
三维或更高维目标空间中高效通用的圆锥超体积进化算法
DOI：
10.1587/transfun.e98.a.2330
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发表时间：
2015-11
影响因子：
0.5
通讯作者：
Wang Zhenyu
中科院分区：
文献类型：
--
作者：
Ying Weiqin;Xie Yuehong;Xu Xing;Wu Yu;Xu An;Wang Zhenyu
The conical area evolutionary algorithm (CAEA) has a very high run-time efficiency for bi-objective optimization, but it can not tackle problems with more than two objectives. In this letter, a conical hypervolume evolutionary algorithm (CHEA) is proposed to extend the CAEA to a higher dimensional objective space. CHEA partitions objective spaces into a series of conical subregions and retains only one elitist individual for every subregion within a compact elitist archive. Additionally, each offspring needs to be compared only with the elitist individual in the same subregion in terms of the local hypervolume scalar indicator. Experimental results on 5-objective test problems have revealed that CHEA can obtain the satisfactory overall performance on both run-time efficiency and solution quality. © 2015 The Institute of Electronics, Information and Communication Engineers.
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DOI：
10.1109/cec.2005.1554971
发表时间：
2005-12
期刊：
2005 IEEE Congress on Evolutionary Computation
影响因子：
--
作者：
Lyndon While;L. Bradstreet;L. Barone;P. Hingston
通讯作者：
Lyndon While;L. Bradstreet;L. Barone;P. Hingston
影响因子：
6.8
作者：
Bringmann, Karl;Friedrich, Tobias
通讯作者：
Friedrich, Tobias
影响因子：
14.3
作者：
Deb, K;Pratap, A;Meyarivan, T
通讯作者：
Meyarivan, T
影响因子：
10
作者：
Zhou, Aimin;Qu, Bo-Yang;Zhang, Qingfu
通讯作者：
Zhang, Qingfu
DOI：
--
发表时间：
1995
期刊：
Complex Syst.
影响因子：
--
作者：
K. Deb;R. Agrawal
通讯作者：
K. Deb;R. Agrawal