| 蚁群算法理论及应用研究的进展 |
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| 引用本文： | 段海滨,王道波,朱家强,黄向华.蚁群算法理论及应用研究的进展[J].控制与决策,2004,19(12):1321-1326. |
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| 作者姓名： | 段海滨 王道波 朱家强 黄向华 |
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| 作者单位： | 1. 南京航空航天大学,自动化学院,江苏,南京,210016
2. 清华大学,智能技术与系统国家重点实验室,北京,100084 |
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| 基金项目： | 国家航空科学基金资助项目(01C52015),江苏省"333"工程基金资助项目. |
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| 摘 要： | 蚁群算法是优化领域中新出现的一种仿生进化算法．该算法采用分布式并行计算机制,易与其他方法结合,具有较强的鲁棒性;但搜索时间长、易限入局部最优解是其突出的缺点．针对蚁群算法,首先介绍其基本原理;然后讨论了近年来对蚁群算法的若干改进以及在许多新领域中的发展应用;最后评述了蚁群算法未来的研究方向和主要研究内容．
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| 关 键 词： | 蚁群算法 信息素 智能计算 优化 |
| 文章编号： | 1001-0920(2004)12-1321-06 |
Development on ant colony algorithm theory and its application |
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| DUAN Hai-bin,WANG Dao-bo,ZHU Jia-qiang,HUANG Xiang-hua.Development on ant colony algorithm theory and its application[J].Control and Decision,2004,19(12):1321-1326. |
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| Authors: | DUAN Hai-bin WANG Dao-bo ZHU Jia-qiang HUANG Xiang-hua |
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| Affiliation: | DUAN Hai-bin~1,WANG Dao-bo~1,ZHU Jia-qiang~2,HUANG Xiang-hua~1 |
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| Abstract: | Ant colony algorithm is a novel category of bionic algorithm for optimization problems. Parallel (computation) mechanism is adopted in this algorithm. Ant colony algorithm has strong robustness and is easy to (combine) with other methods in (optimization,) but it has the limitation of stagnation, and is easy to fall into local (optimums.) (Firstly,) the basic principle of ant colony algorithm is introduced. Then, a series of schemes on improving the ant colony algorithm are discussed, and the new applications are also provided. Finally, some remarks on the further (research) and directions are presented. |
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| Keywords: | ant colony algorithm pheromone intelligent computation optimization |
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