Journal Paper

Paper Title - Ant Colony Optimization For Model Order Reduction with Substructure Preservation


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.


Author - Othman Alsmadi, Zaer Abo-Hammour, Saleh Saraireh

Citation - Othman Alsmadi   ,   Zaer Abo-Hammour   ,   Saleh Saraireh   ,   Othman Alsmadi, Zaer Abo-Hammour, Saleh Saraireh " Ant Colony Optimization For Model Order Reduction with Substructure Preservation " , International Journal of Industrial Electronics and Electrical Engineering , Volume-5,Issue-6  ( Jun, 2017 )

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| Published on 2017-08-28