A PSOTP Algorithm Based on Static Task Allocation of Neural Network
Abstract
References
Recommendations
Integration of Ant Colony Algorithm and Neural Networks for Task Management and Allocation in Groups of Mobile Robots
Interactive Collaborative RoboticsAbstractThis paper addresses the use of intelligent algorithms for task allocation and trajectory planning in groups of mobile robots. Structural schemes and methodologies for management and planning have been developed, where the ant colony algorithm is ...
A Novel PSO-Inspired Probability-based Binary Optimization Algorithm
ISISE '08: Proceedings of the 2008 International Symposium on Information Science and Engieering - Volume 02Particle Swarm Optimization (PSO) is an emerging intelligent optimization algorithm. Because of its excellent characteristic, PSO has been wildly researched and applied to tackle optimization algorithm in continuous space. As PSO cannot optimize the ...
A Particle Swarm Optimization Algorithm Based on Genetic Selection Strategy
ISNN 2009: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part IIIThe standard particle swarm optimization algorithm (simply called PSO) has many advantages such as rapid convergence. However, a major disadvantage confronting the PSO algorithm is that they often converge to some local optimization. In order to avoid ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Other conferences](/cms/asset/c27ba820-3448-4add-a402-9b06071ffd2b/3641584.cover.jpg)
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 17Total Downloads
- Downloads (Last 12 months)17
- Downloads (Last 6 weeks)2
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 inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format