旅行商问题
最大值和最小值
蚁群优化算法
数学优化
局部搜索(优化)
极值优化
欧几里德几何
突变
计算机科学
最优化问题
过程(计算)
数学
元优化
生物
数学分析
操作系统
基因
生物化学
几何学
作者
Jinhui Yang,Xiaohu Shi,Maurizio Marchese,Yanchun Liang
标识
DOI:10.1016/j.pnsc.2008.03.028
摘要
Focused on a variation of the euclidean traveling salesman problem (TSP), namely, the generalized traveling salesman problem (GTSP), this paper extends the ant colony optimization method from TSP to this field. By considering the group influence, an improved method is further improved. To avoid locking into local minima, a mutation process and a local searching technique are also introduced into this method. Numerical results show that the proposed method can deal with the GTSP problems fairly well, and the developed mutation process and local search technique are effective.
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