Improving (1+λ)-ES Using the Clonal Selection Theory of Immunity
In the evolvable hardware,apart from the influence of evolutionary model and the chromosome encoding,the evolutionary algorithm directly influences the evolution speed.The core idea of the traditional (1+λ) algorithm is very appropriate for the evolvable hardware.However,after the evolution on a mass of different target circuits,we find a serious problem of random number seed relying on the (1+λ) algorithm.In other words,there is a wide gap between the evolution generations of different random number seeds.This Paper improves the (1+λ) algorithm combining the clonal selection theory of immunity and experimental data analysis.A large number of experiments demonstrate that the improved method dramatically improves the speed of evolution and made the distribution of the evolution generation more concentrated compared with the traditional algorithm.
genetic algorithms evolvable hardware random number seed relying immunity
Chuan-Tao Li Jian-An Lou Yong-Xue Zhou Yang Li
Mechanical Engineering College, Shijiazhuang, China
国际会议
天津
英文
266-269
2012-10-16（万方平台首次上网日期，不代表论文的发表时间）