Title: Research of electronic circuit optimisation design algorithm

Authors: Xuesong Yan; Qinghua Wu; Qingzhong Liang; Chenyu Hu; Hong Yao

Addresses: School of Computer Science, China University of Geosciences, Wuhan, Hubei, 430074, China ' Hubei Provincial Key Laboratory of Intelligent Robot, Faculty of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, Hubei, 430074, China ' School of Computer Science, China University of Geosciences, Wuhan, Hubei, 430074, China ' School of Computer Science, China University of Geosciences, Wuhan, Hubei, 430074, China ' School of Computer Science, China University of Geosciences, Wuhan, Hubei, 430074, China

Abstract: In this paper, we improved the traditional evolutionary algorithm and investigate the new algorithm in the field of evolutionary electronics. In the new algorithm, we use intergenerational elite mechanism instead of the best individual retention mechanism, in this mechanism, the population of the front generation mixed with the new population which generate through crossover and mutation operations, then select the optimum individuals according to a certain probability. This method can save the genetic diversity in the population evolution better. For the case studies, this means has proved to be more efficient and the experiment results show that the new means have got the better results.

Keywords: evolutionary algorithm; electronic circuit optimisation; genetic algorithms; fitness function; circuit design; electronic circuits.

DOI: 10.1504/IJCAT.2013.052804

International Journal of Computer Applications in Technology, 2013 Vol.46 No.3, pp.267 - 275

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 23 Mar 2013 *

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