Analysis of the Dynamics of Particle Swarm Optimization
スポンサーリンク
概要
- 論文の詳細を見る
This paper deals with the stability analysis of PSO in order to obtain an understanding about how it searches a globally optimal solution and strategies about how to tune its parameters. While two types of generalized reduced models of PSO are proposed to analyze the dynamics of PSO, the stability analysis is carried out on the basis of both the eigenvalue analysis and the bounded input bounded output stability.
- 社団法人 電気学会の論文
- 2005-05-01
著者
-
Iwasaki Nobuhiro
Tokyo Metropolitan University
-
YASUDA Keiichiro
Tokyo Metropolitan University
-
Yasuda Keiichiro
Tokyo Metropolitan Univ. Tokyo Jpn
関連論文
- Particle Swarm Optimization : A Numerical Stability Analysis and Parameter Adjustment Based on Swarm Activity
- Dynamic Parameter Tuning of Particle Swarm Optimization
- Adaptive Particle Swarm Optimization via Velocity Feedback
- A Method to Combine Chaos and Neural Network Based on the Fixed Point Theory
- Analysis of the Dynamics of Particle Swarm Optimization
- Integrated Optimization by Multi-Objective Particle Swarm Optimization
- Particle Swarm Optimization with Velocity Control
- Particle Swarm Optimization with Approximate Gradient
- Hierarchical Decentralized Autonomous Control in Super-distributed Energy Systems
- A Physical Interpretation of Particle Swarm Optimization
- Particle Swarm Optimization with Controlled Mutation
- Particle Swarm Optimization with Diverse Parameters
- Pursuit-Escape Particle Swarm Optimization
- Proximate Optimality Principle Based Tabu Search
- Multipoint Tabu Search Based on Proximate Optimality Principle-Application of Parts Concept
- Multi-point Tabu Search for Traveling Salesman Problems