A New Design of CMOS Bandgap Reference Based on Genetic Algorithm

Abstract:

A new CMOS bandgap reference which is optimized by adaptive GA(genetic algorithm) is presented in this paper. During the optimization of the parameters, according to the different specifications, the idea which looks on secondary targets as the boundary restrictions is proposed, so that the problem of multi-objective normalization is solved. The secondary optimizing method about coarse adjusting initially, meticulous adjusting successively is proposed in the optimization based on adaptive Genetic Algorithm. The simulation results which have reached the leading standard of industry indicate the advantage and validity of the method comparing with other method used in the design of bandgap references.

• Periodical: Advanced Materials Research (Volumes 712-715)
• Pages: 1780-1786
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.712-715.1780
• Online since: June 2013
• Authors: Jian Hai Yu, Chang Chun Dong
• Keywords: CMOS Bandgap Reference, Fitness, Genetic Algorithm (GA), Temperature Coefficient

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