Ant Colony Optimization For Model Order Reduction with Substructure Preservation
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.