Author(s)

Yerbol A. Sapargaliyev, Tatiana G. Kalganova

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The challenging task to synthesize automatically a time-to-amplitude converter, which unites by its functionality several digital circuits, has been successfully solved with the help of a novel methodology. The proposed approach is based on a paradigm according to which the substructures are regarded as additional mutation types and when ranged with other mutations form a new adaptive individual-level mutation technique. This mutation approach led to the discovery of an original coevolution strategy that is characterized by very low selection rates. Parallel island-model evolution has been running in a hybrid competitive-cooperative interaction throughout two incremental stages. The adaptive population size is applied for synchronization of the parallel evolutions.

Analog Circuit Synthesis, EVolutionary Electronics, Computational Circuits, SPICE

Sapargaliyev, Y. and Kalganova, T. (2011) Synthesis of Time-to-Amplitude Converter by Mean CoeVolution with Adaptive Parameters. Journal of Software Engineering and Applications, 4, 447-464. doi: 10.4236/jsea.2011.48052.