Genetic algorithms solving the problem of commercial advertisement layout in newspapers

Chengyao Wang, Li Zhan, Shaoqian Wei
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Abstract

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.
遗传算法解决报纸商业广告版面问题
报纸商业广告版面问题属于正交包装问题,是一个非线性问题。描述了该问题的数学模型。根据问题的特点,设计了遗传算法的编码空间和解码函数。仿真结果表明,遗传算法具有较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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