计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (23): 230-232.DOI: 10.3778/j.issn.1002-8331.2008.23.070

• 工程与应用 • 上一篇    下一篇

改进的蚁群-遗传算法在优化航线中的应用

严 勇1,2   

  1. 1.中国科学院 研究生院,北京 100049
    2.中国人民解放军总医院 医学工程中心,北京 100853
  • 收稿日期:2008-03-19 修回日期:2008-06-10 出版日期:2008-08-11 发布日期:2008-08-11
  • 通讯作者: 严 勇

Application of improved algorithm of ant colony system and genetic algorithm in optimization of routes

YAN Yong1,2   

  1. 1.Graduate University of Chinese Academy of Sciences,Beijing 100049,China
    2.Medical Engineering Center,General Hospital of Chinese PLA,Beijing 100853,China
  • Received:2008-03-19 Revised:2008-06-10 Online:2008-08-11 Published:2008-08-11
  • Contact: YAN Yong

摘要: 航线优化是一个重要问题。提出的改进算法是先通过限制、选择和更新信息素、控制周游次数,找出航线的满意解,大大缩短了搜索时间;再用所得较好的航线表示作为初始种群,指定为父体,直接进行分组定界操作,将已得航线进行优化改良,求得最佳航线。实验结果表明,该算法应用于求解航线优化问题行之有效。

关键词: MAX-MIN蚁群优化算法, 单亲进化遗传算法, 结合算法, 航线优化

Abstract: Route optimization is an important issue.The improved algorithm that this paper presents firstly improves and updates pheromone,controls the number of tourism,finds satisfactory solution and greatly reduces the search time.Then,better route becomes the initial group and is designated father of solutions,directly operates packet and delimitation,improves the attained route to come at the best route.The experiments demonstrate that the proposed algorithm is very effective in solving the problem of route optimization.

Key words: Max-Min Ant System(MMAS), Partheno Evolution Ganetic Algorithm(PEGA), combinatorial algorithm, route optimization