Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1548775 | Progress in Natural Science: Materials International | 2008 | 6 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Materials Science
Electronic, Optical and Magnetic Materials
Authors
Jinhui Yang, Xiaohu Shi, Maurizio Marchese, Yanchun Liang,