计算机应用与软件2024，Vol.41Issue(6)：273-281,9.DOI:10.3969/j.issn.1000-386x.2024.06.040
基于信息共享策略的加权逐点预测动态多目标优化
WEIGHTED POINT-WISE PREDICTION DYNAMIC MULTIPLE OBJECTIVE OPTIMIZATION BASED ON INFORMATION SHARING STRATEGY
摘要
Abstract
In order to achieve the Pareto optimal solution effectively and improve the robustness to the input error,a weighted point-wise prediction dynamic multiple objective optimization algorithm based on information sharing strategy is proposed.An information sharing strategy was introduced,which allowed each point to make use of the information in its adjacent solutions to improve the robustness of the model.A similarity measure was introduced,and by comparing with some common similarity measures,a weighted point-wise prediction method was proposed,which greatly enhanced the ability to capture various patterns.Experimental results on EC2018 DMO test suite show the effectiveness of the proposed method.关键词
信息共享/鲁棒性/多目标优化/加权逐点预测Key words
Information sharing/Robustness/Multiple objective optimization/Weighted point-wise prediction分类
信息技术与安全科学引用本文复制引用
包全磊,陈红星..基于信息共享策略的加权逐点预测动态多目标优化[J].计算机应用与软件,2024,41(6):273-281,9.基金项目
山西省专利推广项目计划(201005-201105). （201005-201105）
