Improving Particle Swarm Optimization Using Co-Optimization of Particles and Acceleration Constants
| Autor: | Bo Yang, Lin Wang, Zhenxiang Chen |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Physics
0209 industrial biotechnology Acceleration 020901 industrial engineering & automation Dimension (vector space) 0202 electrical engineering electronic engineering information engineering Particle swarm optimization Applied mathematics 020201 artificial intelligence & image processing 02 engineering and technology |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319529400 HIS |
| Popis: | Particle swarm optimization exhibits effective performance for solving difficulties in real-world problems. However, the determination of acceleration constants, which influence the performance of PSO significantly and varies between different problems, is hard to tune. This paper presents a co-optimization strategy of particles and acceleration constants, which incorporates the optimization of parameters into the basic framework of optimization and extends the dimension of particles and embeds the acceleration constants at the additional part. Experiment results manifest that the proposed algorithm shows satisfactory performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|