| 基于图像分割的伪并行免疫遗传算法聚类设计 |
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| 引用本文： | 洪俊,杨淑莹,任翠池.基于图像分割的伪并行免疫遗传算法聚类设计[J].天津理工大学学报,2006,22(5):83-85. |
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| 作者姓名： | 洪俊 杨淑莹 任翠池 |
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| 作者单位： | 天津理工大学,计算机科学与技术学院,天津,300191 |
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| 摘 要： | 遗传算法是一种自适应全局优化概率搜索算法。但它却由于进化过程的过早收敛而导致无法保证收敛到全局最优解。因此运用伪并行思想与免疫遗传算法相结合来弥补遗传算法的缺陷。1问题描述许多学科要根据所测得的相似性数据进行分类,把探测数据归入到各个聚合类中,从而对各聚合类
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| 关 键 词： | 伪并行 免疫遗传算法 聚类 抗体 |
| 文章编号： | 1673-095X（2006）05-0083-03 |
| 收稿时间： | 2006-01-11 |
| 修稿时间： | 2006年1月11日 |
Study of pseudo-parallel immune genetic algorithm based on image segmentation |
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| HONG Jun,YANG Shu-ying,REN Cui-chi.Study of pseudo-parallel immune genetic algorithm based on image segmentation[J].Journal of Tianjin University of Technology,2006,22(5):83-85. |
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| Authors: | HONG Jun YANG Shu-ying REN Cui-chi |
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| Institution: | School of Computer Science and Technology, Tianjin University of Technology, Tianjin 300191, China |
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| Abstract: | Genetic algorithm(GA) is an algorithm used to find approximate solutions to difficult-to-solve problems through the application of the principles of evolutionary biology to computer science.And it has the ability of doing a global searching quickly.But premature phenomenon still exists while we apply it.As a result,the searching converges earlier and we can't get the solution of the optimization.Therefore,a pseudo-parallel immune genetic algorithm is proposed,which inoculates populations generated by GA to improve the searching speed and reject premature phenomenon according to the characteristic of a certain problem and the parallel theory.The simulated results show that the solution of the optimization can be easily and quickly obtained by this method. |
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| Keywords: | pseudo-parallel immune genetic algorithm clustering antibody |
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