电子器件2024，Vol.47Issue(4)：1081-1086,6.DOI:10.3969/j.issn.1005-9490.2024.04.032
基于改进蚁群算法的计量物资供应多目标调度
Multi-Objective Scheduling of Metering Material Supply Based on Improved Ant Colony Algorithm
徐嘉伟 1范彩兄 1金顺安 1王克荣 1方侃 1罗仲全1
作者信息
- 1. 国网青海省电力公司电力科学研究院,青海 西宁 810000
- 折叠
摘要
Abstract
To solve the problem of metering material scheduling,the demand and characteristics of power metering material supply are analyzed,and the characteristics of the links in the material supply process are explained.A multi-objective material scheduling model with material satisfaction and time cost as the goal is established,considering material balance constraints,supply point constraints,transfer point constraints,emergency demand point constraints,etc.Subjective and objective weighting methods are used to obtain com-prehensive weights,and the improved ant colony optimization method is used to solve the model.The simulation analysis using the IEEE33 node model shows that the material satisfaction and time satisfaction can be obtained by determining the transportation node and the supply process link,and the effectiveness of the proposed model and method is verified.关键词
计量物资/多目标优化/物资供应/改进蚁群算法Key words
material measurement/multi-objective optimization/material supply/improved ant colony algorithm分类
信息技术与安全科学引用本文复制引用
徐嘉伟,范彩兄,金顺安,王克荣,方侃,罗仲全..基于改进蚁群算法的计量物资供应多目标调度[J].电子器件,2024,47(4):1081-1086,6.
