利用神经元结构的数字系统在线进化技术 technology of on-line system-level evolution of large scale digital circuits based on nerve cell.pdfVIP

33 5 Vol.33, No.5 2006 5 Opto-Electronic Engineering May, 2006 文章编号 1003501X(2006 利用神经元结构的数字系统在线进化技术 ( 南京航空航天大学 自动化学院 江苏 南京 210016 ) 摘要 (SGA) 关键词 中图分类号 TP301.6 文献标识码 A Technology of on-line system-level evolution of large scale digital circuits based on nerve cell WANG Yong-ming WANG You-ren YAO Rui ZHANG Zhai ( College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China ) Abstract Since the traditional hardware evolutionary methods based on logical gates were only valid to evolve simple digital circuits, a method of on-line system-level evolution was proposed. The nerve cell model suited to digital system evolution was designed , and the Simple Genetic Algorithm SGA was used to realize on-line evolution of digital circuits. By example of the evolution for image processing algorithm, the influences of evolutionary algorithm parameters and template size to the evolution of image processing were analyzed. Experimental results demonstrate that the evolutionary method based on nerve cell has high evolutionary successful rate and fast convergent performance, and it can realize on-line evolution of large scale digital circuits. Key words Evolvable hardware; Nerve cell model; System-level evolution; Information processing 引 言 早在 1960 年 计算机之父冯•诺依曼便提出过研制“具有自修复和自复制能力的机器”的伟大设想