Swarm intelligence algorithm for interconnect model order reduction with sub-block structure preserving

Xinsheng Wang, Chenxu Wang and Mingyan Yu

International Journal of Systems Science, 2016, vol. 47, issue 9, 2178-2192

Abstract: In this paper, we propose a generalised sub-block structure preservation interconnect model order reduction (MOR) technique based on the swarm intelligence method, that is, particle swarm optimisation (PSO). The swarm intelligence-based structure preservation MOR can be used for a standard model as a criterion for different structure preservation interconnect MOR methods. In the proposed technique, the PSO method is used for predicting the unknown elements of structure-preserving reduced-order modelling of interconnect circuits. The prediction is based on minimising the difference of transform function between the original full-order and desired reduced-order systems maintaining the full-order structure in the reduced-order model. The proposed swarm-intelligence-based structure-preserving MOR method is compared with published work on structure preservation MOR SPRIM techniques. Simulation and synthesis results verify the accuracy and validity of the new structure-preserving MOR technique.

Date: 2016
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DOI: 10.1080/00207721.2014.979269

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