[1]华一村,刘奇奇,郝矿荣,等.非规则Pareto前沿面多目标进化优化算法研究综述[J].郑州大学学报(工学版),2021,42(01):1-8.[doi:10.13705/j.issn.1671-6833.2021.01.001]
　Huayi Village,Liu Qiqi,Hao Junrong,et al.A Survey of Evolutionary Algorithms for Multi-objective Optimization Problems with Irregular Pareto Front[J].Journal of Zhengzhou University (Engineering Science),2021,42(01):1-8.[doi:10.13705/j.issn.1671-6833.2021.01.001]
点击复制

非规则Pareto前沿面多目标进化优化算法研究综述()
分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
42卷
期数:
2021年01期
页码:
1-8
栏目:
出版日期:
2021-03-14

文章信息/Info

Title:
A Survey of Evolutionary Algorithms for Multi-objective Optimization Problems with Irregular Pareto Front
作者:
华一村; 刘奇奇; 郝矿荣; 金耀初
东华大学信息科学与技术学院;萨里大学计算机科学系;

Author(s):
Huayi Village; Liu Qiqi; Hao Junrong; Jin Yaochu;
School of Information Science and Technology of Donghua University; Department of Computer Science, University of Surrey;

关键词:
Keywords:
DOI:
10.13705/j.issn.1671-6833.2021.01.001
文献标志码:
A
摘要:
现实中多目标优化问题的Pareto前沿面往往是不连续的，退化的等非规则的形式。传统的针对规则Pareto前沿面的进化算法无法很好地解决这类问题。因此，针对具有非规则Pareto前沿面的多目标优化问题的进化算法逐渐成为进化计算领域的研究热点。本文对现有的针对非规则Pareto前沿面的进化算法进行分类综述，分析各类算法的特点和缺陷，并给出未来的发展方向。
Abstract:
In reality, Pareto front of multi-objective optimization problems is often irregular, such as discontinuous or degenerate. Evolutionary algorithms are generally designed for regular Pareto fronts, so they can not solve irregular problems well. Therefore, evolutionary algorithms for multi-objective optimization problems with irregular Pareto fronts have gradually become the research hotspot in evolutionary computing area. In this paper, the existing evolutionary algorithms for irregular Pareto fronts are classified and summarized. The characteristics and shortcomings of these algorithms are analyzed, and the future development directions are given.

相似文献/References:

[1]梁静,刘睿,瞿博阳,等.进化算法在大规模优化问题中的应用综述[J].郑州大学学报(工学版),2018,39(03):15.[doi:10.13705/j.issn.1671-6833.2017.06.016]
　Liang Jing,Liu Rui,Qu Boyang,et al.A Survey of Evolutionary Algorithms for  Large Scale Optimization Problem[J].Journal of Zhengzhou University (Engineering Science),2018,39(01):15.[doi:10.13705/j.issn.1671-6833.2017.06.016]
[2]邹露,颜雪松,胡成玉.突发饮用水污染下的水阀和消防栓的调度研究[J].郑州大学学报(工学版),2018,39(03):93.[doi:10.13705/j.issn.1671-6833.2018.03.006]
　Zou Luyan,Xuesong,Hu Chengyu.Research on Dispatching Algorithm of Valves and Hydrants under Sudden Drinking Water Pollution[J].Journal of Zhengzhou University (Engineering Science),2018,39(01):93.[doi:10.13705/j.issn.1671-6833.2018.03.006]
[3]李章晓,宋微,田野.基于深度学习和进化计算的外汇预测与投资组合优化[J].郑州大学学报(工学版),2019,40(01):92.[doi:10.13705/j.issn.1671-6833.2019.01.014]
　Li Zhangxiao,Song Wei,Tian Ye.Exchange Rate Forecasting and Portfolio Optimization Based on Deep Learning and Evolutionary Computation[J].Journal of Zhengzhou University (Engineering Science),2019,40(01):92.[doi:10.13705/j.issn.1671-6833.2019.01.014]
[4]邓立宝,吴怡然,郭苏.基于分解多目标进化的椭圆定日镜场布局[J].郑州大学学报(工学版),2020,41(05):37.[doi:10.13705/j.issn.1671-6833.2020.03.012]
　Deng Libao,Wu Yiran,Guo Su..Elliptical Heliostat Field Layout Optimization Based on MOEA/D[J].Journal of Zhengzhou University (Engineering Science),2020,41(01):37.[doi:10.13705/j.issn.1671-6833.2020.03.012]
[5]汪慎文,王佳莹,张佳星,等.SI7:应用精英档案和反向学习的多目标差分进化算法[J].郑州大学学报(工学版),2020,41(06):40.[doi:10.13705/j.issn.1671-6833.2020.06.011]
　Wang Shenwen,Wang Jiaying,Zhang Jiaxing,et al.A Multi-ob＜x＞jective?Differential?Evolution Algorithm with Elite-Archive and Opposition-ba＜x＞sed Learning[J].Journal of Zhengzhou University (Engineering Science),2020,41(01):40.[doi:10.13705/j.issn.1671-6833.2020.06.011]

更新日期/Last Update: 2021-03-15