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Genetic algorithms solving the problem of commercial advertisement layout in newspapers  ( EI收录)  

文献类型:会议论文

英文题名:Genetic algorithms solving the problem of commercial advertisement layout in newspapers

作者:Wang Chengyao[1]; Li Zhan[1]; Wei Shaoqian[1]

第一作者:王成尧

机构:[1] Coll. Teacher, Beijing Union Univ., Beijing, China

第一机构:北京联合大学师范学院

会议日期:17-19 June 2009

会议地点:Guilin, China

语种:英文

外文关键词:advertising - genetic algorithms

摘要:The layout problem of business advertisements on newspapers belonging to orthogonal packing problem is nonlinear problem. The mathematics model of the problem is described. The encoding space and the decoding function of the genetic algorithm is designed basing on the problem characterizes. The simulation result shows that the genetic algorithm has better performance.

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