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›› 2005, Vol. 31 ›› Issue (09): 179-181.

• 论文 • 上一篇    下一篇

基于改进免疫遗传算法的不规则图形排样

宋亚男,邓飞其,叶家玮   

  1. 华南理工大学自动化科学与工程学院,华南理工大学自动化科学与工程学院,华南理工大学交通学院 广州 510640
  • 发布日期:2005-05-15

Improved Effective Immune Genetic Algorithm for Solving the Packing Problem

SONG Yanan1, Deng Feiqi1, Ye Jiawei2   

  1. (1. College of Automation Science and Engineering, South China Univ. of Tech., Guangzhou 510640; 2. College of Transportation, South China Univ. of Tech., Guangzhou 510640)
  • Published:2005-05-15

摘要: 在基本遗传算法的基础上提出了针对件排样问题的改进免疫算法;探讨了能记忆排过程先验知识的浓度算子对排样过程的影响,实验证明是有效的。

关键词: 排样, 免疫算子, 遗传算法

Abstract: In this paper, an improved effective immune genetic algorithm for solving the packing problem is brought out. A kind of new chroma operator based on the domain knowledge is brought out. Its effiency is proved by experiments.

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