A new reactive power optimized evolutionary programming algorithm has been proposed through the heuristic experiences of reactive power optimized voltage regulation and adaptive evolutionary programming algorithm 結(jié)合上述電壓無(wú)功調(diào)整的啟發(fā)式經(jīng)驗(yàn)和一種自適應(yīng)進(jìn)化規(guī)劃算法,論文提出了一種新穎的具有可行方向的無(wú)功優(yōu)化進(jìn)化規(guī)劃算法。
4 . design the optimal loiter trajectory of the attack uav in the horizontal plane using maximum principle and desige the loiter strategy of the attack uav using dynamic programming algorithm and game theory . 5 運(yùn)用最大值原理對(duì)待機(jī)搜索段進(jìn)行優(yōu)化設(shè)計(jì),并且應(yīng)用博弈論、動(dòng)態(tài)規(guī)劃方法對(duì)搜索策略進(jìn)行設(shè)計(jì),提高了無(wú)人機(jī)使用效率和作戰(zhàn)效能。
Because there is lots of uncertain information in optimization based image reconstruction from projections , fuzzy vector mathematic programming algorithm for image reconstruction from projections is therefore proposed 由于優(yōu)化圖像重建過(guò)程中存在著許多不確定的隨機(jī)模糊信息,因此,作者采浙江大學(xué)博士學(xué)位論文用模糊向t優(yōu)化法來(lái)求解圖像重建問(wèn)題。
Abstract to increase the storage capacity of mobile equipment and improve the transmission efficiency of vector data on network , this paper proposed a model and improved method of vector data compression based on dynamic programming algorithm 摘要為了使移動(dòng)設(shè)備存儲(chǔ)大容量的矢量數(shù)據(jù)和提高矢量數(shù)據(jù)的網(wǎng)絡(luò)傳輸效率,矢量數(shù)據(jù)壓縮是一項(xiàng)很重要的工作。
Because the second math model belongs to nonlinear programming problem , we adapted generic algorithm . at last generic algorithm is well compared with integer programming algorithm in method step and method principle 對(duì)模型二,因?yàn)槭且粋€(gè)非線性規(guī)劃問(wèn)題,故可采用遺傳算法求解,并詳細(xì)介紹了兩種求解算法的步驟,原理,以及這兩個(gè)模型間的異同點(diǎn)和優(yōu)缺點(diǎn)。
We call this method point - tree structure genetic programming algorithm ( ptgp ) . this algorithm has been applied into symbolic regression and parameter identification . the results show that ptgp is a good method 我們將這種算法應(yīng)用到間斷函數(shù)回歸問(wèn)題(符號(hào)回歸問(wèn)題)和間斷參函數(shù)識(shí)別問(wèn)題(偏微分方程反問(wèn)題)中,測(cè)試結(jié)果表明,點(diǎn)樹遺傳程序設(shè)計(jì)算法能夠有效的識(shí)別間斷函數(shù)。
This paper build industrial process hybrid model mixed with logical and rules and advance mixed integer nonlinear programming algorithms combined with constraint programming . at last the author apply those methods to industrial process systems 本文建立了結(jié)合邏輯規(guī)則的工業(yè)過(guò)程模型,提出了結(jié)合約束程序的混合整數(shù)非線性規(guī)劃算法,并將這些理論和方法應(yīng)用到工業(yè)過(guò)程實(shí)際中。
In the algorithm , a search tree with roots of the cumulative demands in the corresponding period is taken as the roots of the search tree , transforming the quantity discount problem into dynamic order quantity ( doq ) problem that is solvable with a dynamic programming algorithm 該算法以各時(shí)段的累計(jì)需求為根節(jié)點(diǎn)建立搜索樹,從而將帶折扣的庫(kù)存問(wèn)題轉(zhuǎn)化為典型的動(dòng)態(tài)批量問(wèn)題,運(yùn)用動(dòng)態(tài)規(guī)劃法即可求解。
Basing on studying the principle of active contour model and some solutions to it , a new partial optimal dynamic programming contour detection algorithm is presented and the results comparable to the dynamic programming algorithm are given 在研究動(dòng)態(tài)輪廓模型原理及其求解算法的基礎(chǔ)上提出了一種新的部分最優(yōu)化動(dòng)態(tài)規(guī)劃輪廓檢測(cè)算法,保留了動(dòng)態(tài)規(guī)劃算法的性能和優(yōu)點(diǎn),但綜合運(yùn)算復(fù)雜度降低,運(yùn)算速度大大提高。
Research and application of genetic expression programming algorithm based on uniform - design a new evolutionary algorithm named uniformdesign genetic expression programming ugep based on uniformdesign was proposed , which improved the way of generating initial population and also improved hybrid crossover operators . theoretic analysis proves . . 提出了一種基于均勻設(shè)計(jì)的基因表達(dá)式編程算法ugep ,該算法對(duì)經(jīng)典的gep算法做了以下改進(jìn):利用混合水平均勻表的構(gòu)造對(duì)初始種群的產(chǎn)生進(jìn)行改進(jìn),保證了解分布的均勻性引入自適應(yīng)多親雜交算子,用均勻優(yōu)化代替隨機(jī)進(jìn)化。