A Physical Interpretation of Particle Swarm Optimization
スポンサーリンク
概要
- 論文の詳細を見る
The Particle Swarm Optimization (PSO) method is one of the most powerful methods available for solving both unconstrained and constrained global optimization problems. However, knowledge about how the PSO method works or finds a globally optimal solution of a global optimization problem is as yet limited. This paper deals with a physical interpretation of the PSO method in order to obtain strategies about how to tune its parameters. The results of this study will contribute to a reduction of labor for tuning the parameters of PSO.
- 社団法人 電気学会の論文
- 2005-03-01
著者
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