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Hao Wu
Guangxi University for Nationalities

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A Power Effective Algorithm for State Encoding Anping He; Hao Wu; X. Song; Jinzhao Wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Reducing the area and power dissipation of FSM circuit is of significant importance for EDA technology. Many methods are adopted to achieve an effective and fast transformation of FSMs to binary codes, including Genetic algorithm (GA) and others. In this paper, we propose a GA based state assignment of a FSM circuit to gain the minimization of power consumption and area. We modify the traditional mutation to be an ordered operation, which is also a substitution of the crossover that guarantees every new individual owns better fitness than the old one. We test the proposed algorithm with benchmarks, as well as do the comparison with the published; our method saves both power and area dissipation in reasonable computation time. DOI: http://dx.doi.org/10.11591/telkomnika.v12i6.5482
Co-Authors Anping He Jinzhao Wu X. Song