Research on Smelting Ingredient Diluting for Refined Copper Strip by Bacteria Foraging Optimization Algorithm
During the smelting process of refined copper strip production, to reduce varied losses caused by obvious superscales of some individual ingredients, the multi-charge diluting optimization method for smelting ingredients of refined copper strips is studied. The multi-object optimization model for smelting ingredients diluting is established. Lagrangian relaxation idea is introduced to transform the multi-objective model, and the detail implement steps of bacteria foraging optimization (BFO) algorithm are designed to solve above model. The experiment result shows that BFO algorithm is suitable for solving complex optimization problems such as diluting smelting ingredient.
refined copper strip diluting bacteria foraging optimization algorithm chemotaxis
Chang Chunguang ZhuYunlong HuKunyuan ShenHai
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
国际会议
2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)
长沙
英文
275-278
2010-12-18(万方平台首次上网日期,不代表论文的发表时间)