Fuzzy adaptive particle swarm for single and multi-objective optimization problems
Joint Authors
Turki, F. A.
al-Hafnawi, N. A.
al-Shirbini, M. M.
Abd al-Wahid, Wail Fathi
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 7, Issue 2 (31 Jul. 2007)18 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2007-07-31
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This paper proposed a fuzzy adaptive particle swarm optimization (FAPSO) for single and multi-objective optimization problems (MOOPs).
This algorithm considers the development a maintain of particle swarm optimization with fuzzy set theory to solve the complexities of non linear programming with high dimensions.
This combination achieved in this algorithm two objectives.
One of them ermines the initial position of particles instead of selecting them randomly and ranking them by using the fuzzy utility function.
Therefore, it is easy to select the and for MOOP.
Another one is controlling the velocity of the particles whereas it is the reason to reveal the premature convergence and the particles divergence cases.
The FAPSO is tested using a set of benchmark problems to illustrate the effectiveness of overcoming the premature convergence and the particles divergence cases.
Also, for finding the multiple pareto optimal solution of MOOPs.
American Psychological Association (APA)
al-Hafnawi, N. A.& Abd al-Wahid, Wail Fathi& al-Shirbini, M. M.& Turki, F. A.. 2007. Fuzzy adaptive particle swarm for single and multi-objective optimization problems. International Journal of Intelligent Computing and Information Sciences،Vol. 7, no. 2.
https://search.emarefa.net/detail/BIM-284885
Modern Language Association (MLA)
Abd al-Wahid, Wail Fathi…[et al.]. Fuzzy adaptive particle swarm for single and multi-objective optimization problems. International Journal of Intelligent Computing and Information Sciences Vol. 7, no. 2 (Jul. 2007).
https://search.emarefa.net/detail/BIM-284885
American Medical Association (AMA)
al-Hafnawi, N. A.& Abd al-Wahid, Wail Fathi& al-Shirbini, M. M.& Turki, F. A.. Fuzzy adaptive particle swarm for single and multi-objective optimization problems. International Journal of Intelligent Computing and Information Sciences. 2007. Vol. 7, no. 2.
https://search.emarefa.net/detail/BIM-284885
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-284885