A Fast Particle Swarm Optimization Algorithm by Refining the Global Best Solution
Abstract
References
Index Terms
- A Fast Particle Swarm Optimization Algorithm by Refining the Global Best Solution
Recommendations
An improved quantum-behaved particle swarm optimization algorithm
CAR'10: Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2Quantum-behaved particle swarm optimization (QPSO) algorithm is a global convergence guaranteed algorithm, which shows good search ability in many optimization problems. In this paper, we present an improved QPSO algorithm, called IQPSO, by combining ...
Improved Particle Swarm Optimization for Constrained Optimization
ITA '13: Proceedings of the 2013 International Conference on Information Technology and ApplicationsIn this paper, we present an improved particle swarm optimization (PSO) algoritlim to solve constrained optimization problems. The proposed approach, called MPSO, employs a novel mutation operator to enhance the global search ability of PSO. In order to ...
Accelerating particle swarm optimization using crisscross search
This paper introduces a novel crisscross search particle swarm optimizer called CSPSO.The CSPSO algorithm has significant superiority over most of the other PSO variants in terms of solution accuracy and convergence rate.The swarm in CSPSO is directly ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- National Natural Science Foundation of China
- Seism Science & Technology Spark Program of China Earthquake Administrator
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 109Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in