| 遗传算法结合蚁群算法电力系统故障浅析 |
| |
| 引用本文： | 王雅芳.遗传算法结合蚁群算法电力系统故障浅析[J].系统仿真技术,2008,4(1):55-60. |
| |
| 作者姓名： | 王雅芳 |
| |
| 作者单位： | 福建水电学院,福建,永安,366000 |
| |
| 摘 要： | 根据蚁群算法与遗传算法的特性，提出了与遗传算法混合的蚁群算法（G3A）：由遗传算法生成初始信息素分布，在蚁群算法寻优中，利用蚁群算法信息素轨迹更新求精确解，保持了遗传算法的全面搜索能力，从而获得在时间效率与精解效率都更优的一种新的启发式方法。
|
| 关 键 词： | 遗传算法 蚂蚁算法 最短路径 融合 信息索更新 |
Analysis of Genetic Algorithm and Ant Algorithm in Power System Fault Diagnosis |
| |
| WANG Yafang.Analysis of Genetic Algorithm and Ant Algorithm in Power System Fault Diagnosis[J].System Simulation Technology,2008,4(1):55-60. |
| |
| Authors: | WANG Yafang |
| |
| Affiliation: | WANG Yafang ( Fujian College of Water Conservancy and Electric Power, yong＇an 366000, China) |
| |
| Abstract: | According ant algorithms and genetic algorithm characteristics,a hybrid ant algorithm(G3A): Genetic algorithm generated by the initial information-distribution,use ant pheromone path algorithm for updating exact solution,maintaining a comprehensive genetic algorithm search capabilities,in order to gain efficiency and time intensive solutions better efficiency of a new heuristic method. |
| |
| Keywords: | genetic algorithm ant algorithm shortest route combination pheromone update |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
