| 基于最速下降法的人工免疫算法 |
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| 引用本文： | 赵伟,刘雪英. 基于最速下降法的人工免疫算法[J]. 内蒙古工业大学学报, 2009, 28(2): 94-98 |
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| 作者姓名： | 赵伟 刘雪英 |
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| 作者单位： | 内蒙古工业大学数学系,内蒙古呼和浩特010051 |
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| 基金项目： | 内蒙古自治区自然科学基金（项目编号：200208020104）,内蒙古工业大学重点研究项目（项目编号：ZD200815）. |
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| 摘 要： | 由于人工免疫算法受到收敛速度相对较慢，局部搜索能力较弱、求解全局最优解需要的群体规模相对较大等因素的影响，本文将最速下降法与人工免疫算法结合，提出了一种新的混合算法。数值实验结果表明，该算法能够找到更优的优化结果，并且在收敛速度上明显优于传统的人工免疫算法。
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| 关 键 词： | 人工免疫算法 欧式距离 最速下降法 混合算法 |
THE ARTIFICIAL IMMUNE ALGORITHM BASED ON THE STEEPEST DESCENT METHOD |
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| ZHAO Wei,LIU Xue-ying. THE ARTIFICIAL IMMUNE ALGORITHM BASED ON THE STEEPEST DESCENT METHOD[J]. Journal of Inner Mongolia Polytechnic University(Social Sciences Edition), 2009, 28(2): 94-98 |
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| Authors: | ZHAO Wei LIU Xue-ying |
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| Affiliation: | (Department of Mathematics,School of Science, Inner Mongolia University of Technology, Hohhot 010051,China) |
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| Abstract: | Artificial immune algorithm used to have disadvantages such as the relatively slow speed of convergence, weak local search capabilities, and the relatively large groups demanded for finding the global optimal solution. In this paper,a new hybrid algorithm is proposed which is based on the combination of the steepest descent method with the artificial immune algorithm. Experimental results show that the new algorithm can help realize better optimization and the speed of convergence of the new algorithm is much higher than that of the traditional artificial immune algorithm. |
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| Keywords: | artificial immune algorithm continental distance steepest descent method hybrid algorithm |
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