A Genetic Algorithm-Based Multiobjective Optimization for Analog Circuit Design

Authors:
Gabriel Oltean;Sorin Hintea;Emilia Sipos
Affiliations:
Bases of Electronics Departament, Technical University of Cluj-Napoca, Cluj-Napoca, Romania 400020;Bases of Electronics Departament, Technical University of Cluj-Napoca, Cluj-Napoca, Romania 400020;Bases of Electronics Departament, Technical University of Cluj-Napoca, Cluj-Napoca, Romania 400020
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Year:
2009

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Abstract

Multiple, often conflicting objectives are specific to analog design. This paper presents a multiobjective optimization algorithm based on GA for design optimization of analog circuits. The fitness of each individual in the population is determined using a multiobjective ranking method. The algorithm found a set of feasible solutions on the Pareto front. Thus, the circuit designers can explore more possible solutions, choosing the final one according to further preferences/constraints. The proposed algorithm was shown to produce good solutions, in an efficient manner, for the design optimization of a CMOS amplifier, for two different sets of requirements.