计算机与现代化Issue(6)：23-26,4.DOI:10.3969/j.issn.1006-2475.2013.06.007
基于高维多目标优化的国网运维指标建模研究
Research on State Grid Operation and Maintenance Index Modeling Based on High Dimensional Multi-objective Optimization
摘要
Abstract
The assessment plan developed by state grid changes so frequently that the company under assessment can not allocate its resources reasonably.The paper proposes a high-dimensional multi-objective optimization modeling method based on indicators in the assessment plan,which aims to make the company achieve some resource allocation scheme which have higher overall score without taking the impact of weighting factors.In the model,the least squares based high-dimensional multi-objective reduction algorithm is used to eliminate redundant objectives and a novel density assessment function is introduced to make more effectively converge to the Pareto front.Experimental reference new density evaluation functions of the NSGA-Ⅱ algorithm,and compare with the original NSGA-Ⅱ.Results demonstrate the validity and legitimacy of the proposed model.关键词
高维多目标优化/目标缩减/密度评估策略/国网考核Key words
high-dimensional multi-objective optimization/multi-objective reduction/density estimation strategy/state grid assessment分类
信息技术与安全科学引用本文复制引用
李真,汤进,何鸣,杨栋枢..基于高维多目标优化的国网运维指标建模研究[J].计算机与现代化,2013,(6):23-26,4.基金项目
国家自然科学基金资助项目(61272152) （61272152）
