Abstract
Particle Swarm Optimization has succeeded in many continuous problems, but research about discrete problems especially routing problems has been done little. In this paper, an improved Particle Swarm Optimization (PSO) algorithm to solve Traveling Salesman Problem was proposed. Fuzzy Matrix was used to represent the position and velocity of the particles in PSO and the operators in the original PSO formulas were redefined. Then the algorithm was tested with several concrete examples from TSPLIB, experiment shows that the algorithm can achieve good results.
Original language | Chinese |
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Pages (from-to) | 1331-1334 |
Journal | Journal of Chinese Computer Systems |
Volume | 26 |
Issue number | 8 |
Publication status | Published - 2005 |
Bibliographical note
In Chinese with English abstractKeywords
- particle
- swarm
- optimization
- traveling salesman problem
- fuzzy matrix