algorithm convergence

基本解釋

This paper particularly analyzed the work mechanism and the algorithm convergence of the niching genetic algorithms.
文章扼要分析了小生境遺傳算法的運(yùn)行機(jī)制，并對(duì)遺傳算法的收斂性作了詳細(xì)分析。
The algorithm is deduced and difference equation of parameter error given by which the algorithm convergence is proved theoretically.
對(duì)該算法進(jìn)行了推導(dǎo)，并給出了參數(shù)誤差的差分方程，在理論上證明了算法的收斂性。
For accelerating the algorithm convergence and avoiding the local optimization, an individual learning mechanism is often applied to generic algorithm to improve algorithm performance.
在遺傳算法中引入個(gè)體學(xué)習(xí)機(jī)制能夠提高算法的性能，避免算法收斂過(guò)慢或陷入局部最優(yōu)。