Dr Mehmet Aydin Mehmet.Aydin@uwe.ac.uk
Senior Lecturer in Networks and Mobile Computing
Collaboration of metaheuristic agents remains as a problem, which attracts challenges to overcome in order to manage a better collaboration in problem solving methodologies. Swarm intelligences techniques have been tried as collaborating methods with good records for homogeneous metaheuristic agents. On the other hand, heterogeneous methods also attracts attention of researchers for better performance in problem solving. This paper discusses the performance of particle swarm optimisation algorithms for collaborating metaheuristic agents with consideration of homogeneity in agents.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2010 Fifth International Conference on Digital Information Management (ICDIM) |
Start Date | Jul 5, 2010 |
End Date | Jul 8, 2010 |
Publication Date | Dec 10, 2010 |
Peer Reviewed | Peer Reviewed |
Pages | 540-545 |
ISBN | 9781424475728 |
DOI | https://doi.org/10.1109/ICDIM.2010.5664656 |
Keywords | multi-agent systems, particle swarm optimisation, problem solving |
Public URL | https://uwe-repository.worktribe.com/output/977219 |
Publisher URL | http://dx.doi.org/10.1109/ICDIM.2010.5664656 |
Additional Information | Title of Conference or Conference Proceedings : 2010 Fifth International Conference on Digital Information Management (ICDIM) |
Assuring correctness, testing, and verification of x-compiler by integrating communicating stream x-machine
(2024)
Presentation / Conference Contribution
Leveraging deep learning for enhanced software fault prediction using error-type metrics
(2024)
Presentation / Conference Contribution
Why reinforcement learning?
(2024)
Journal Article
The effect of parameters on the success of heuristic algorithms in personalized personnel scheduling
(2023)
Presentation / Conference Contribution
Error-type -A novel set of software metrics for software fault prediction
(2023)
Journal Article
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search