Parameter of parallel multi - deme fuzzy genetic algorithm 并行多種群模糊遺傳算法參數(shù)
Solving unit commitment problem based on fuzzy genetic algorithm 基于模糊遺傳算法的機(jī)組組合問題的求解
Fuzzy genetic algorithm - based electro - hydraulic servo system control 基于模糊遺傳算法的電液位置伺服系統(tǒng)控制
Image correlation matching method based on fuzzy genetic algorithm 自然數(shù)編碼遺傳算法在圖像相關(guān)匹配中的應(yīng)用
Parameter optimization in industrial process control based on fuzzy genetic algorithm 基于模糊遺傳算法的工業(yè)過程控制參數(shù)優(yōu)化研究
They learn from others " strong points to offset one ' s weakness , therefore two research direction - genetic fuzzy system and fuzzy genetic algorithm ( fga ) - appear 現(xiàn)階段,模糊遺傳算法的發(fā)展還不十分成熟,對其認(rèn)識也眾說紛紜。
To solve the job shop fuzzy scheduling problem and find the optimal schedule , fuzzy genetic algorithms were adopted where , some fuzzy number processing methods were introduced into the fitness function 應(yīng)用遺傳算法在適應(yīng)度函數(shù)處理中引入模糊數(shù)處理方法,解決作業(yè)車間模糊調(diào)度問題,實(shí)現(xiàn)調(diào)度優(yōu)化。
The floatwall in combustor is an important structure for aero - engine to improve its power - to - weight . fga - fem was put forward to optimize the floatwall structure , and fga - fem combined fuzzy genetic algorithm ( fga ) and finite element method ( fem ) 本文提出一種采用有限元方法( fem )和模糊遺傳算法相結(jié)合的方法即模糊遺傳算法-有限元的結(jié)構(gòu)優(yōu)化方法( fga - fem ) ,并將該方法應(yīng)用于燃燒室浮動壁結(jié)構(gòu)的優(yōu)化計(jì)算和分析,取得了較好的效果。