Selective Purchasing Optimization of Raw Materials for Refined Copper Strip by BFO Algorithm

摘要：

Aiming at Improving the efficiency and sclentificity of raw materials purchasing for refined copper strip producing, a multi-objective optimization model is established, the model is transformed by introducing some constraints into the objective function. For the raw material purchasing problem of refined copper strip, the encoding system of BFO algorithm is designed, and the tumble direction in conventional BFO algorithm Is adapted so as to ensure bacteria swim feasible location each time. Thereby, the detail implement steps of BFO algorithm are designed. By the practical instance application of raw material purchasing problem of refined copper strip, the validity of above optimization model and BFO algorithm for the complex optimization model such as raw material purchasing problem of refined copper strip is validates.

关键词： refined copper strip raw material selective purchasing bacteria foraging optimization algorithm

作者: Chang Chunguang ZhuYunlong HuKunyuan Zhang Yi

作者单位: Key Laboratory of Industrial Informatics Shenyang Institute of Automation, Chinese Academy of Scienc Key Laboratory of Industrial Informatics Shenyang Institute of Automation, Chinese Academy of Scienc

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 337-340

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）