| 一种改进的基于云环境的蚁群优化算法 |
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| 引用本文： | 刘伯红,赵浚尧.一种改进的基于云环境的蚁群优化算法[J].重庆邮电大学学报(自然科学版),2012,24(6):712-715. |
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| 作者姓名： | 刘伯红 赵浚尧 |
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| 作者单位： | 重庆邮电大学计算机科学与技术学院,重庆,400065 |
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| 基金项目： | 重庆市自然科学基金(CSTC2009BB-2287)；重庆邮电大学计算机学院“云计算”专项项目（JK-Y-2010001） |
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| 摘 要： | 在研究标准蚁群优化算法的基础上,提出一种旨在改善网络路由的蚁群优化算法以应用于云环境下多元化复杂的网络结构环境.新算法在原有蚁群算法智能寻优的基础上,加入网络节点在网审查机制,实时判断网络节点是否在网,选择最优解路径.仿真实验表明,改进算法能有效地改善因为网络节点在网情况的多变性而造成的部分路径失效的情况,进而缓解网络拥塞.
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| 关 键 词： | 云计算 蚁群算法 在网审查 网络路由 信息素 |
| 收稿时间： | 2012/5/11 0:00:00 |
Improved ant colony optimization algorithm based on cloud environment |
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| LIU Bohong,ZHAO Junyao.Improved ant colony optimization algorithm based on cloud environment[J].Journal of Chongqing University of Posts and Telecommunications,2012,24(6):712-715. |
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| Authors: | LIU Bohong ZHAO Junyao |
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| Institution: | College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R.China |
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| Abstract: | Based on the research of the original colony optimization algorithm, an improved ant colony optimization algorithm is proposed to improve the network routing quality for the colud environment which has more complex network structure. The new algorithm adopts an network node review mechanism which can judge whether the network node is online or not in real time,and get the optimal solution network routing path.Simulation results show that the improved algorithm can effectively improve the network routing quality when partial network path has no effect caused by the variability of the network nodes in the network,so as to solve some network congestion problems. |
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| Keywords: | cloud computing ant colony optimization network review network routing pheromone |
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