CBR-Based knowledge discovery on results of evolutionary design of logic circuits

Authors:
Shuguang Zhao;Mingying Zhao;Jin Li;Change Wang
Affiliations:
School of Electronic Engineering, Xidian University, Xi’an, P.R. China;School of Mechanic-Electronic Engineering, Xidian University, Xi’an, P.R. China;School of Electronic Engineering, Xidian University, Xi’an, P.R. China;School of Electronic Engineering, Xidian University, Xi’an, P.R. China
Venue:
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Year:
2006

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Abstract

Automated design of circuits is a vital task, which becomes more and more challenging due to the conflict of ever-growing scales and complexities of circuits and slow acquisition of relevant knowledge. Evolutionary design of circuit (EDC) combined with data mining is a promising way to solve the problem. To improve EDC in the aspects of efficiency, scalability and capability of optimization, a novel technique is developed. It features an adaptive multi-objective genetic algorithm and interactions between EDC and data mining. The proposed method is validated by the experiments on arithmetic circuits, showing many exciting results especially some novel knowledge discovered from the EDC data.