Embryonic Electronic Circuit Optimization Design Method Based on Genetic Algorithm

Abstract

AbstractWith the progress of science and technology, the existing electronic system is developing to complication and miniaturization, this requires that the system has high reliability and low resource consumption. Embryonic electronic cell array (EECA) is a new kind of circuit structure based on the embryonic evolution of biology, with the feature of self-organization, self-healing and self-adaptive. Compared with traditional circuit design method of electronic system, the electronic system implemented with EECA has higher reliability, however, it also means more hardware resource consumption. In this paper, the function circuit is implemented by EECA, and it’s consumption of electric cell is presented by matrix. In order to optimize the consumption of embryonic cells, the genetic algorithms (GA) is utilized, through the optimization of circuit design is optimized, the hardware resource consumption of the circuit is reduced. Through the study of the optimization design of a typical circuit, both the hardware resource consumption and the reliability of the system have improved a lot, compared with the traditional design method,which has great engineering application value.KeywordsEmbryonic electronic cell arrayGenetic algorithmMatrixHardware consumption