中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Artificial Immune Principle Based Charging Optimization Algorithm for Refined Copper Strip Producing

文献类型:会议论文

作者Chang CG(常春光); Zhu YL(朱云龙); Nei BG(那宝贵); Hu KY(胡琨元); Zhang Y(张毅)
出版日期2009
会议名称5th International Conference on Natural Computation, ICNC 2009
会议日期August 14-16, 2009
会议地点Tianjin, China
页码22-26
中文摘要With the purpose of optimize charging for refined copper strip producing, a multi-object real time charging model is established, in which some charging practical demand such as reusing copper resource, cutting down charging cost, reducing metal burn-up, substitutive degree among different brand old materials and so on are considered in detail. To resolve the model easily, it is converted and disposed. The immune principle is analyzed, the artificial immune principle based charging optimization algorithm (AIPCOA) is designed. Some key cycles including the representation method of antibody, the affinity between antibodies and the antigen as well as the affinity among the antibodies, the generating of initial population and so on are especially studied, and the detail implementing steps are given. To verify the validity of the algorithm, the algorithm is compared with the genetic algorithm (GA). The simulation result is verified that more diversity of the solution can be obtained by AIPCOA, more cross-sectional satisfaction solutions can be obtained by AIPCOA, thus, it is easy to selection the most adaptive scheme during practical charging. The artificial immune algorithm (AIA) is fit for solving the optimization problems in which several typical satisfaction solutions is demanded simultaneously as the optional schemes, and obvious practical operation flexibility and outstanding practical application outlook can be obtained by AIA.
收录类别EI
产权排序1
会议主办者Tianjin University of Technology
会议录5th International Conference on Natural Computation, ICNC 2009
会议录出版者IEEE Computer Society
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-0-7695-3736-8
源URL[http://ir.sia.cn/handle/173321/8335]  
专题沈阳自动化研究所_工业信息学研究室
推荐引用方式
GB/T 7714
Chang CG,Zhu YL,Nei BG,et al. Artificial Immune Principle Based Charging Optimization Algorithm for Refined Copper Strip Producing[C]. 见:5th International Conference on Natural Computation, ICNC 2009. Tianjin, China. August 14-16, 2009.

入库方式: OAI收割

来源:沈阳自动化研究所

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