A novel multi-objective particle swarm optimization with -means based global best selection strategy
In this paper, a multi-objective particle swarm optimization algorithm with a new global best () selection strategy is proposed for dealing with multi-objective problems. In multi-objective particle swarm optimization, plays an important role in convergence and diversity of solutions. A -means algor...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press
2013-09-01
|
| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25868424.pdf |