| 基于免疫遗传算法的物流运输求解 |
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| 引用本文： | 刘彦良,王鹏涛,吴静,陈相东. 基于免疫遗传算法的物流运输求解[J]. 天津师范大学学报(自然科学版), 2006, 26(4): 58-61 |
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| 作者姓名： | 刘彦良 王鹏涛 吴静 陈相东 |
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| 作者单位： | 天津理工大学,计算机科学与工程系,天津,300191 |
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| 基金项目： | 天津市教委资助项目;天津市自然科学基金 |
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| 摘 要： | 针对传统遗传算法的缺陷，提出了结合免疫系统原理和遗传算子自适应调整的方法，即免疫遗传算法．该算法可防止算法未成熟收敛、保证种群的多样性，在使用此算法搜索最优解时，可防止陷入局部寻优情况的出现．通过对一个运输实例的求解，证实算法可达到预期的效果．
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| 关 键 词： | 免疫遗传算法 浓度 亲和力 自适应 |
| 文章编号： | 1671-1114(2006)04-0058-04 |
| 修稿时间： | 2006-03-25 |
Solving Logistics Transportation Based on Immune Genetic Algorithm |
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| LIU Yan-liang,WANG Peng-tao,WU Jing,CHEN Xiang-dong. Solving Logistics Transportation Based on Immune Genetic Algorithm[J]. Journal of Tianjin Normal University(Natural Science Edition), 2006, 26(4): 58-61 |
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| Authors: | LIU Yan-liang WANG Peng-tao WU Jing CHEN Xiang-dong |
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| Abstract: | Aimed at the limitation of the traditional genetic algorithm,a method of immune genetic algorithm based on the immune system theory and self-adaptation of the genetic operator was brought up.This algorithm could prevent premature convergence,assure the diversity of the colony,and avoid searching the optimization solution in local situation.Using the algorithm to a case for solving the logistic transportation,it gave a good result. |
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| Keywords: | immune genetic algorithm density affinity selfadaptation |
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