Automated design and knowledge discovery of logic circuits using a multi-objective adaptive GA

Authors:
Shuguang Zhao;Licheng Jiao;Min Tang
Affiliations:
School of 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:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

Citing 3
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Abstract

Both automated design and knowledge discovery of electronic circuits are challenging tasks for artificial intelligence. A genetic algorithm (GA) based approach to them was proposed in this paper, which features an array-based encoding scheme, a multi-objective evaluation mechanism and an adaptation strategy for GA parameters. It was validated by the experiments on arithmetic circuits of gradually increasing scales, which evolved multi-objective optimized circuits and revealed some novel and generalized principles.