| 基于连续空间优化的蚁群算法 |
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| 引用本文： | 赵星乔. 基于连续空间优化的蚁群算法[J]. 信息技术, 2011, 35(4): 47-49,52 |
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| 作者姓名： | 赵星乔 |
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| 作者单位： | 哈尔滨商业大学计算机学院,哈尔滨,150028 |
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| 基金项目： | 引进国际先进农业科学技术(948)项目，黑龙江省自然科学基金，哈尔滨商业大学青年骨干教师创新项目资助 |
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| 摘 要： | 通过对蚁群算法基本理论的研究,从经典的蚁群算法模型中,抽象出解决问题的一般方法,提出了在连续空间优化问题中蚁群算法的模型,在算法中加入了自适应策略用以提高算法的性能,并通过实例分析了连续空间优化问题中蚁群算法的性能,通过仿真实验证明了算法的可行性与实用性。
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| 关 键 词： | 蚁群算法 连续空间优化 自适应策略 |
Ant colony optimization for continuous domains |
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| ZHAO Xing-qiao. Ant colony optimization for continuous domains[J]. Information Technology, 2011, 35(4): 47-49,52 |
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| Authors: | ZHAO Xing-qiao |
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| Affiliation: | ZHAO Xing-qiao(Computer College,Harbin University of Commerce,Harbin 150028,China) |
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| Abstract: | Based on the study of basic ACA theory,this paper puts forward the model of ant colony algorithm in the continuous space optimization problems by getting the general method to solve the problem from the classic model of ant colony algorithm.The adaptive strategy is added to the algorithm to improve performance,and the performance of ant colony algorithm was analyzed through examples in the continuous space optimization.Finally,The experimental results show that the algorithm had greater capacity of solving this problem. |
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| Keywords: | ant colony algorithm continuous space optimization adaptive strategy |
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