A multi-objective real time model for charging optimization is established to reuse copper resource, cut down
cost, reduce metal burn-up, and meet the demand of substitutive degree among different brand of old materials and so on, the
model is converted, the artificial immune algorithm (AIA) based charging optimization algorithm for refined copper strip
producing is designed. Some key cycles such as antibody representation, affinity calculation between antibodies and the
antigen as well as that among the antibodies, initial population generating and so on are especially studied, and the detail
implementing steps are given. The simulation result shows that, compared with the genetic algorithm (GA), more cross-
sectional satisfaction solutions with more diversity can be obtained by using AIA, thus, it is easy to select the most adaptive
scheme during practical charging.