DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-6 ( Jun, 2017 ) | |||||||||
Paper Title |
Ant Colony Optimization For Model Order Reduction with Substructure Preservation | |||||||||
Author Name |
Othman Alsmadi, Zaer Abo-Hammour, Saleh Saraireh | |||||||||
Affilition |
Department of Electrical Engineering, Philadelphia University Amman-19392, Jordan Department of Mechatronics Engineering, The University of Jordan Amman-11942, Jordan Department of Communication and Electronics Engineering,Philadelphia University Amman-19392, Jordan | |||||||||
Pages |
68-71 | |||||||||
Abstract |
Utilizing artificial intelligence (AI), great performance improvements have been recently accomplished. As a result, different AI techniques have been proposed for the objective of model order reduction (MOR) which yields a reduction of complexity in system modelling. In this paper, we propose an AI technique, named Ant Colony Optimization (ACO), for the purpose of reduced order system modelling with substructure preservation. The ACO technique has been applied to dynamical system modelling with reduction performance that is superior to recently published work. Keywords- Artificial Intelligence; Ant Colony Optimization; Model Order Reduction. | |||||||||
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