| 基于人工鱼群的交通诱导系统最优查询研究 |
| |
| 引用本文： | 潘海珠,杜晓昕,王波.基于人工鱼群的交通诱导系统最优查询研究[J].齐齐哈尔轻工业学院学报,2012(5):6-9. |
| |
| 作者姓名： | 潘海珠 杜晓昕 王波 |
| |
| 作者单位： | [1]齐齐哈尔大学计算机与控制工程学院．黑龙江齐齐哈尔161006 [2]齐齐哈尔大学教育与传媒学院,黑龙汀齐齐哈尔161006 |
| |
| 基金项目： | 2010年齐齐哈尔市科学技术计划（工业攻关）项目资助 |
| |
| 摘 要： | 与齐齐哈尔市公安交通警察支队交通控制中心合作开发，并以齐齐哈尔市路况为实际进行凋研，将改进的人工鱼群算法应用于交通路径诱导系统数据库优化查淘中，算法提高了最优路径查询的效率。对人工鱼群算法进行了改进，引入贝叶斯变异算子和十字交叉变异算子，避免了算法局部寻优能力差和收敛速度慢等弊端。仿真实验表明算法是正确有效性的。
|
| 关 键 词： | 人工鱼群 最优路径 交通路径诱导系统 变异 |
Research on artificial fish swarm algorithm in the optimal query of traffic route guidance system |
| |
| Authors: | PAN Hai-zhu DU Xiao-xin WANG Bo |
| |
| Affiliation: | 1. Computer and Control Institute, Qiqihar University, Heilongjiang Qiqihar 161006, China; 2. Education and Communication Institute, Qiqihar University, Heilongjiang Qiqihar 161006, China ) |
| |
| Abstract: | This study is executed with Qiqihar traffic police branch together and investigated by Qiqihar road situation. Improved artificial fish swarm algorithm is applied to the query of traffic route guidance system. The query efficiency of the optimal path is improved by this algorithm. Bayesian variation and crossing variation are added to the improved artificial fish swarm algorithm. It can overcome a lot of artificial fish swarm algorithm defects, such as bad local searching ability and low search speed. Simulation results show this new strategy i~ rir, ht nnrl ~ff~ptlvo |
| |
| Keywords: | artificial fish swarm optimal path traffic route guidance system variation |
| 本文献已被 维普 等数据库收录！ |
