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基于改进型遗传算法的数字电路优化

许颖 张瑛

计算机技术与发展Issue(8):168-171,4.
计算机技术与发展Issue(8):168-171,4.DOI:10.3969/j.issn.1673-629X.2014.08.0139

基于改进型遗传算法的数字电路优化

Optimization of Digital Circuits Based on Improved Genetic Algorithm

许颖 1张瑛1

作者信息

  • 1. 南京邮电大学 电子科学工程学院,江苏 南京 210003
  • 折叠

摘要

Abstract

Genetic Algorithm ( GA) is an intelligent optimization algorithm by simulation of biological evolution,which has been widely used in lots of fields. In view of the problems of precocity and slow evolution speed in the digital circuits design where traditional GA ap-plies,propose a new individual selection method. By combining the optimal individual and improving roulette,it is able to keep the diver-sity of population and effectively improve the accuracy of circuit optimization at the mean time. The algorithm is applied in minimum classification network design,the experimental results verify its rationality and effectiveness.

关键词

遗传算法/电路优化/最小分类网络

Key words

genetic algorithm/circuit optimization/minimum classification network

分类

信息技术与安全科学

引用本文复制引用

许颖,张瑛..基于改进型遗传算法的数字电路优化[J].计算机技术与发展,2014,(8):168-171,4.

基金项目

国家自然科学基金青年科学基金(61106021) (61106021)

江苏省高校自然科学研究项目(11KJB510019) (11KJB510019)

计算机技术与发展

OACSTPCD

1673-629X

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