Analyzes the stochastic ergodicity and sensitivity of initial value of chaos model , proposes the chaos pseudo parallel genetic algorithm ( cppga ) based on multiple populations 摘要剖析了混沌模型的隨機(jī)性、遍歷性和初值敏感性的特點(diǎn),提出了多種群偽并行混沌遺傳算法。
Combines the parallel character of multiple population pseudo parallel evolution with inner stochastic character of chaos movement , applying different chaotic disturbance strategies , taking chaos ' variable measure map mechanism into population initialization or middle populations fulfilled function optimization 把多群體偽并行進(jìn)化的并行性和混沌運(yùn)動(dòng)的內(nèi)在隨機(jī)性結(jié)合起來,利用不同的混沌擾動(dòng)策略,把混沌變尺度映射機(jī)理應(yīng)用到種群初始化和中間群體的優(yōu)化進(jìn)化實(shí)現(xiàn)函數(shù)優(yōu)化。