mutation operator造句
例句與造句
- A particle swarm optimization with step - accelerating mutation operator
含步長(zhǎng)加速變異算子的微粒群算法 - Mechanism analysis of mutation operator based on algebraic crossover operator
基于代數(shù)雜交算子的變異算子機(jī)理分析 - The main research achievements are as follows : a new mutation operator is constructed
主要成果如下:構(gòu)造了新的變異算子。 - Study on improvement of mutation operator in evolutionary programming and evolutionary strategies
進(jìn)化規(guī)劃和進(jìn)化策略中變異算子的改進(jìn)研究 - Similarity - based crossover - mutation operator and its application to mining classification rules
基于相似度的交叉變異算子及其在分類規(guī)則挖掘中的應(yīng)用 - It's difficult to find mutation operator in a sentence. 用mutation operator造句挺難的
- Crossover and mutation operators of algorithms are set up according to the theory of matter element transformation
以物元變換理論為指導(dǎo)建立了算法的進(jìn)化操作算子。 - We should specially point out that by the function of the mutation operator , which ensures a stable convergence of the algorithm into a global optimum
需要特別指出的是，通過(guò)該變異算子的作用，可以使算法穩(wěn)定地收斂到全局最優(yōu)解。 - Through the simulation test , the paper analyses the impact of crossover operator , mutation operator and eliminating near best result operator on the algorithms
通過(guò)仿真實(shí)驗(yàn)，本文分析了交叉算子、變異算子及近憂淘汰算于對(duì)算法的影響。 - The probability to obtain the correct answer of genetic algorithm is big through the use of optimized crossover and mutation operators
本文給出了對(duì)圖像拼接問(wèn)題進(jìn)行了優(yōu)化的交叉和變異算子,這樣使得遺傳算法能夠以非常大的概率獲得正確解。 - The advantage of genetic algorithms lies in : to search the best solution for many initial points ; and find the total optimum solution by means of crossover and mutation operator
它從多個(gè)初始點(diǎn)開(kāi)始尋優(yōu)，借助交叉和變異算子來(lái)獲得參數(shù)的全局最優(yōu)解。 - ( 3 ) an adaptive crossover operator , an adaptive mutation operator and a multiple and variable elitist operator are proposed to enhance the reliability and efficiency of ga
( 3 )提出了自適應(yīng)雜交、自適應(yīng)突變和多重動(dòng)態(tài)優(yōu)選等遺傳算子，旨在提高ga的可靠性和效率。 - Based on it , a novel adaptive genetic algorithm was put forth , in which the points of crossover and mutation operators change with diversity of evolution population and effect factor
在此基礎(chǔ)上，提出一種自適應(yīng)遺傳算法，該算法中交叉和變異操作的點(diǎn)數(shù)隨種群多樣性函數(shù)和作用函數(shù)而變化。 - Second , we present the dna encoding method in solving job - shop scheduling problem and the corresponding decoding method , recombination and frameshift mutation operators , and deadlock is also described in detail
其次，給出解決job - shop調(diào)度問(wèn)題的dna編碼方法和相應(yīng)的解碼、重組、框架轉(zhuǎn)移變異方法，對(duì)死鎖現(xiàn)象也進(jìn)行了詳細(xì)闡述。 - ( 3 ) an imporved method to solve multi - join query optimization in wiis based on ga is proposed this dissertation . according to multi - join query expressions , encode method , crossover operator and mutation operator are introduced
( 3 )提出一種基于遺傳算法的多數(shù)據(jù)源連接查詢優(yōu)化問(wèn)題的方法以及與此相適應(yīng)編碼方法、交叉算子和變異算子。
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