Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection
β Scribed by Sun, Jun; Fang, Wei; Wu, Xiaojun; Palade, Vasile; Xu, Wenbo
- Book ID
- 120566166
- Publisher
- MIT Press
- Year
- 2012
- Tongue
- English
- Weight
- 932 KB
- Volume
- 20
- Category
- Article
- ISSN
- 1063-6560
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The particle swarm optimization algorithm is analyzed using standard results from the dynamic system theory. Graphical parameter selection guidelines are derived. The explorationβexploitation tradeoff is discussed and illustrated. Examples of performance on benchmark functions superior to previously
This Book And Its Sister Volumes, I.e., Lncs Vols. 3610, 3611, And 3612, Are The Proceedings Of The 1st International Conference On Natural Computation (icnc 2005), Jointly Held With The 2nd International Conference On Fuzzy Systems And Knowledge Discovery (fskd 2005, Lnai Vols. 3613 And 3614) From
The performance of the recently proposed Unified Particle Swarm Optimization method is investigated under different schemes for the determination and adaptation of the unification factor, which is the main parameter of the method, controlling its exploration and exploitation properties. Widely used