1. Particle swarm optimization algorithm based on parameter improvements.
- Author
-
Qinghua Wu, Tao Song, Hanmin Liu, and Xuesong Yan
- Subjects
- *
PARTICLE swarm optimization , *VELOCITY , *MATHEMATICAL optimization , *PARAMETER estimation , *ALGORITHMS - Abstract
Through the researches on various item improvements of particle swarm optimization algorithm, the improved particle swarm optimization algorithm is proposed for the insufficient global searching ability. This paper has improved the parameters of velocity formula and introduced new distance calculation formula to modify various parameters in the velocity formula. The improved particle swarm optimization algorithm has been tested by adopting standard test function, and the result has been compared with other particle swarm optimization algorithms. The experimental result indicated that the proposed improved particle swarm optimization algorithm in this paper got the better result for function optimization problems. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF