A new hybrid genetic algorithm with particle swarm optimization and normal boundary intersection method for generating the pareto frontier
Joint Authors
Hashimi, H.
al-Laia, R.
al-Hami, A.
Source
Journal of Automation and Systems Engineering
Issue
Vol. 7, Issue 3 (30 Sep. 2013), pp.115-124, 10 p.
Publisher
Publication Date
2013-09-30
Country of Publication
Algeria
No. of Pages
10
Main Subjects
Topics
Abstract EN
In this work we present the resolution of multiobjective optimization problems as a tool in engineering design.
In the literature, the solutions of this problem are based on the Pareto frontier construction.
Indeed ; we propose a hybrid algorithm of genetic algorithm and particle swarm optimization using the normal boundary intersection method to solve some multiobjective optimization problems.
Our contribution has two aims.
First, we present the hybrid genetic algorithm and particle swarm optimization.
Secondly, the new formulation of GA-PSO with normal boundary intersection method gives performance results using several experiments.
American Psychological Association (APA)
Hashimi, H.& al-Laia, R.& al-Hami, A.. 2013. A new hybrid genetic algorithm with particle swarm optimization and normal boundary intersection method for generating the pareto frontier. Journal of Automation and Systems Engineering،Vol. 7, no. 3, pp.115-124.
https://search.emarefa.net/detail/BIM-375090
Modern Language Association (MLA)
Hashimi, H.…[et al.]. A new hybrid genetic algorithm with particle swarm optimization and normal boundary intersection method for generating the pareto frontier. Journal of Automation and Systems Engineering Vol. 7, no. 3 (Sep. 2013), pp.115-124.
https://search.emarefa.net/detail/BIM-375090
American Medical Association (AMA)
Hashimi, H.& al-Laia, R.& al-Hami, A.. A new hybrid genetic algorithm with particle swarm optimization and normal boundary intersection method for generating the pareto frontier. Journal of Automation and Systems Engineering. 2013. Vol. 7, no. 3, pp.115-124.
https://search.emarefa.net/detail/BIM-375090
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 123-124
Record ID
BIM-375090