Multi-objective memetic algorithm applied to the automated synthesis of analog circuits

Authors:
Maria José P. Dantas;Leonardo da C. Brito;Paulo Henrique P. de Carvalho
Affiliations:
Department of Mathematics and Physics, Catholic University of Goiás, Goiânia, Goiás, Brazil;School of Electrical and Computer Engineering, Federal University of Goiás, Goiânia, Goiás, Brazil;Department of Electrical Engineering, University of Brasília, Brasília-DF, Brazil
Venue:
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Year:
2006

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Abstract

In this paper, a Multi-objective Memetic Algorithm applied to the automated synthesis of analog circuits is proposed. The optimization of circuit topologies and their parameters are simultaneously carried out. A variable-size 2D circuit representation is used. In this approach, the initial solutions are created based on expert knowledge through the use of well-known buildingblocks and rules-based coupling schemes. The proposed genetic operators are specific to 2D encoding and they are capable of fomenting a balance between diversity and convergence. A local search process – the Simulated Annealing method – is applied in order to improve the circuit parameters. The results show that the proposed method generates, with small populations and few generations, small well-structured circuits which accomplish the specifications.