| 蚁群算法及其改进形式综述 |
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| 引用本文： | 黄挚雄,张登科,黎群辉.蚁群算法及其改进形式综述[J].计算技术与自动化,2006,25(3):35-38. |
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| 作者姓名： | 黄挚雄 张登科 黎群辉 |
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| 作者单位： | 中南大学,信息科学与工程学院,湖南,长沙,410075 |
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| 摘 要： | 蚁群算法是一种具有许多优良特性的模拟进化算法，已经成功地解决了许多复杂的组合优化问题。但是蚁群算法并不完善。本文介绍蚁群算法的模型及其存在的问题，并综述蚁群算法的多种改进形式，最后对蚁群算法将来的研究方向作出预测。
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| 关 键 词： | 蚁群算法 进化算法 局部搜索算法 |
| 文章编号： | 1003-6199（2006）03-0035-04 |
| 收稿时间： | 2006-02-09 |
| 修稿时间： | 2006年2月9日 |
Ant Colony Algorithm and Summary of Its Improved Algorithms |
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| HUANG Zhi-xiong,ZHANG Deng-ke,LI Qun-hui.Ant Colony Algorithm and Summary of Its Improved Algorithms[J].Computing Technology and Automation,2006,25(3):35-38. |
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| Authors: | HUANG Zhi-xiong ZHANG Deng-ke LI Qun-hui |
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| Affiliation: | School of Information Science and Engineering,Central South University,Changsha 410075,China |
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| Abstract: | Ant colony algorithm is a simulated evolutionary algorithm which shows many excellent characters and has succeeded in solving many difficult combinated optimization problems. However, It is not perfect now. This paper introduces the models and problems about it, summarizes its improved versions and forecasts its future research issues. |
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| Keywords: | ant colony algorithm evolutionary algorithm local search algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
