probability of crossover中文什么意思

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用"probability of crossover"造句

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probability: n. 1.或有；或然性。 2.【哲學(xué)】蓋然性〔在 cer ...
crossover: 【鐵路】岔道，轉(zhuǎn)線路，【生物學(xué)】(雜色體的)交雜，交換； ...
crossover: 【鐵路】岔道，轉(zhuǎn)線路，【生物學(xué)】(雜色體的)交雜，交換；交換型；〔英國〕(交搭胸前的)女圍巾。
probability: n. 1.或有；或然性。 2.【哲學(xué)】蓋然性〔在 certainly 和 doubt 或 posibility 之間〕。 3.【數(shù)學(xué)】幾率，概率，或然率。 4.或有的事；可能的結(jié)果。 5.〔pl.〕〔美俚〕天氣預(yù)測(cè)。 What are the probabilities 有幾分把握？ The probabilities are against us [in our favour]. 趨勢(shì)對(duì)我們好像不利[有利]。 hit probability 命中率。 in all probability 很可能，大概，多半，十之八九。 probability of (missile survival) (飛彈不被擊落的)概率。 The probability is that ... 大概是…，很可能是…。 There is every probability of [that] ... 多半有，多半會(huì)。 There is no probability of [that] ... 很難有，很難會(huì)。
the probability is that: 大概, 想必

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Auto - - generating paper is a constrained multi - object optimization problem . this paper presents a way based on genetic algorithm ( ga ) to solve the problem . we define the crossover operator and mutation operator in the real coded and adjust the probabilities of crossover and mutation
系統(tǒng)實(shí)現(xiàn)采用三層組織結(jié)構(gòu),面向?qū)W習(xí)者、教師、管理員三類用戶,具有課程學(xué)習(xí)、作業(yè)、答疑、考試以及交流功能,同時(shí)采用java語言來構(gòu)建智能agent ,解決了個(gè)性化學(xué)習(xí)的問題。
On the vsp with time window , while the restraints of capacity and time windows are changed into object restraints , a mathematic model is established . we use technique such as maximum preserved crossover and selfadaptability change of probability of crossover and mutation , and design genetic algorithm on nature number , which can deal with soft and hard time windows . the excellent solutions are obtained in the application
對(duì)于有時(shí)間窗的非滿載vsp問題，將貨運(yùn)量約束和時(shí)間窗約束轉(zhuǎn)化為目標(biāo)約束，建立了vsp模型，使用最大保留交叉、交叉率和變異率的自適應(yīng)調(diào)整等技術(shù)，設(shè)計(jì)了給予自然數(shù)編碼的可同時(shí)處理軟、硬時(shí)間窗約束的遺傳算法，實(shí)驗(yàn)分析取得了較好的結(jié)果。
Perfection and adjustment according to system properties , it combines genetic algorithms with fuzzy control , detailed analyzes the problem of designing fuzzy controller and proposes two advanced schemes : first scheme : the change - of - variables are emerged into input variables of the simple fuzzy controllers of oil feeding pump system as one variable , and one pi block is connected after output of fuzzy controllers , consequently the structure of the improved fuzzy controller is analyzed , finally genetic algorithms with adaptive probabilities of crossover and mutation is applied to optimize membership functions and fusing factors of the fuzzy controllers , and the simulation results of before and after optimization are compared
由于在模糊控制器的設(shè)計(jì)過程中存在較多的人為因素，為了實(shí)現(xiàn)根據(jù)系統(tǒng)特性對(duì)模糊規(guī)則和隸屬函數(shù)進(jìn)行自動(dòng)修正、完善和調(diào)整，本文將遺傳算法和模糊控制結(jié)合起來，并針對(duì)前面設(shè)計(jì)的模糊控制器中所存在的問題進(jìn)行了詳細(xì)分析，提出了兩種改進(jìn)方案： 1在簡(jiǎn)單模糊控制器的輸入變量中加入了變量變化率的信息，即將輸入變量和變量的變化率融合為一個(gè)輸入量，并在模糊控制器的輸出端加入比例、積分環(huán)節(jié)，然后分析了這種改進(jìn)后的模糊控制器的解析結(jié)構(gòu)，最后采用改進(jìn)后的自適應(yīng)遺傳算子的遺傳算法對(duì)模糊控制器中的隸屬函數(shù)和融合因子進(jìn)行優(yōu)化，并將優(yōu)化前后的結(jié)果作了比較和分析。 2
The study work mainly included the following : ( 1 ) to overcome the premature convergence of the standard genetic algorithm ( sga ) , a genetic algorithm ( ga ) based on fuzzy reasoning was proposed . this method was used to adjust the probabilities of crossover and mutation during the evolution of ga
本文的研究工作主要包括: ( 1 )針對(duì)標(biāo)準(zhǔn)遺傳算法( sga )的未成熟收斂現(xiàn)象,采用模糊推理運(yùn)算的方法確定遺傳算法中的交叉概率和變異概率,實(shí)現(xiàn)交叉概率和變異概率的動(dòng)態(tài)調(diào)整,從而改善遺傳算法的性能。
Methods to manage each constraint condition were put forward , aiming at the premature and slow convergence of genetic algorithm , this algorithm introduced the combination of genetic algorithm and simulated annealing technology , combining with self - adaptive probabilities of crossover and mutation
提出了對(duì)各約束條件處理的方法，針對(duì)遺傳算法收斂慢等的不足，提出將遺傳算法和模擬退后技術(shù)相結(jié)合，并采用自適應(yīng)交叉和變異率的解決方法。同時(shí)也考慮了混合泵站采用遺傳算法求解的具體實(shí)現(xiàn)步驟和算法。

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probability of crossover中文什么意思

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