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)![]() ![]() ![]() |
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
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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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