NDLI: Artificial Immune Principle Based Charging Optimization Algorithm for Refined Copper Strip Producing

Content Provider	IEEE Xplore Digital Library
Author	Chang Chun-guang Zhu Yun-long Na Bao-gui Hu Kun-yuan Zhang Yi
Copyright Year	2009
Abstract	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 .
Starting Page	22
Ending Page	26
File Size	916113
Page Count	5
File Format	PDF
ISBN	9780769537368
DOI	10.1109/ICNC.2009.581
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Strips Smelting artificial immune algorithm optimization model charging Equations Graphics refined copper strip Refining Production Biology computing Copper Immune system
Content Type	Text
Resource Type	Article

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