Modified ACO for general continuous function optimization

摘要：

For the drawbacks of application in general function optimization using Ant Colony Optimization (ACO), ant’s move method and pheromone updating strategy is modified on ACO. And typical problems are used to demonstrate its validation. The results show that after modification, the convergence process is quicker and the approach is found to give accuracy. At the end of this paper, the parameters selection of the modified ACO is analysised, and the reasonable ranges of parameters are recommended, which is better for popularization.

关键词： ACO coding pheromone updating parameters selection

作者: Li Zhen Chen Xiuhua Wang Hai

作者单位: School of Aeronautics and Astronautics, Lab. of Civil Aircraft Structure Testing, Shanghai Jiao tong School of Aeronautics and Astronautics, Lab. of Civil Aircraft Structure Testing,Shanghai Jiao tong

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 348-354

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）