本文關(guān)鍵詞： 參數(shù)穩(wěn)健設(shè)計(jì) 多響應(yīng)問題 遺傳進(jìn)化 遺傳算法　出處：《計(jì)算機(jī)工程與應(yīng)用》2016年05期 　論文類型：期刊論文

【摘要】：提出了一種基于遺傳進(jìn)化的多響應(yīng)參數(shù)穩(wěn)健設(shè)計(jì)優(yōu)化方法。對多響應(yīng)參數(shù)穩(wěn)建設(shè)計(jì)問題進(jìn)行了數(shù)學(xué)描述,建立了以試驗(yàn)樣本多響應(yīng)輸出參數(shù)的加權(quán)平均質(zhì)量損失最小化為目標(biāo)的數(shù)學(xué)優(yōu)化模型;提出了多響應(yīng)參數(shù)穩(wěn)健設(shè)計(jì)的遺傳進(jìn)化優(yōu)化方法:以密集抽樣取代離散化處理,以個(gè)體取代試驗(yàn)方案,以變化的種群取代固定的內(nèi)表,通過遺傳進(jìn)化得到最優(yōu)設(shè)計(jì)方案;提出并設(shè)計(jì)了多響應(yīng)參數(shù)穩(wěn)健設(shè)計(jì)的遺傳優(yōu)化算法。通過案例分析驗(yàn)證了該方法的有效性。
[Abstract]:A robust design optimization method for multi-response parameters based on genetic evolution is proposed, and the problem of multi-response parameter stability design is described mathematically. A mathematical optimization model with the objective of minimizing the weighted average mass loss of multi-response output parameters of test samples is established. A genetic evolutionary optimization method for robust design of multi-response parameters is proposed: discretization is replaced by dense sampling, experimental scheme is replaced by individual, and fixed inner table is replaced by variable population. The optimal design scheme is obtained by genetic evolution. A genetic optimization algorithm for robust design of multi-response parameters is proposed and designed, and the effectiveness of the method is verified by a case study.
【作者單位】： 河南理工大學(xué)安全科學(xué)與工程學(xué)院;河南理工大學(xué)能源科學(xué)與工程學(xué)院;
【基金】：河南省教育廳科學(xué)技術(shù)研究項(xiàng)目(No.12B120005) 河南理工大學(xué)博士基金項(xiàng)目(No.B2011-088)
【分類號】：TP18;TB472
【正文快照】： 在系統(tǒng)及產(chǎn)品設(shè)計(jì)中經(jīng)常會遇到多響應(yīng)參數(shù)穩(wěn)健設(shè)計(jì)問題,其實(shí)質(zhì)是通過合理確定可控參數(shù)X(xi啜i=1啜2啜，

本文編號：1469106