According to the distinguished result , the algorithm adaptively sets the mutation rate 根據(jù)辨識(shí)結(jié)果,自適應(yīng)地設(shè)置變異概率。
Low mutation rates cause the population to reach high fitness as a whole much slower 變異率低導(dǎo)致了需要更多的時(shí)間人群才能整體上達(dá)到高適應(yīng)性。
In order to speed up the convergence , the crossover and mutation rates are adjusted with on - line fuzzy control according to the evolution situation 為加快收斂速度,根據(jù)種群進(jìn)化情況對(duì)交叉率和變異率進(jìn)行在線模糊控制。
The mutation rate of the virus was most rapid during the early part of the epidemic between the time of the first emergence of sars to the first major outbreak in guangdong province 不斷在人體內(nèi)變異以適應(yīng)人體病毒在sars疫癥初期(即出現(xiàn)第一病例至廣東省大爆發(fā))變異速度最快。
Computational results reveal that the hybrid genetic algorithm can efficiently solve the considered problem and the reduction of makespan is related to the mutation rates and the number of generations 結(jié)果顯示,混合式基因演算法可有效的求解測(cè)試問(wèn)題,最大完工時(shí)間的降低和突變機(jī)率與世代數(shù)相關(guān)。
The performance of the proposed hybrid genetic algorithm is evaluated by two real - world problems and the solution quality of the proposed approach is analyzed under five levels of mutation rates and four levels of number of generations 此混合式基因演算法的績(jī)效將透過(guò)兩個(gè)實(shí)務(wù)的問(wèn)題的求解加以測(cè)試,并且根據(jù)五種突變機(jī)率與四種世代數(shù)進(jìn)行分析。
The analysis revealed that the sars - coronavirus was mutating continuously throughout the epidemic . the estimated mutation rate of the virus , however , is one - third that of the virus responsible for the acquired immunodeficiency syndrome ( aids ) 分析結(jié)果顯示sars冠狀病毒雖然演變迅速,但sars冠狀病毒基因組的中性突變率只是愛(ài)滋病毒基因組的突變率的三分之一。
Now next step we have to think about the ten years treatment , ten years mutation rate is 10 percent , then 90 % percent can use a drug for 10 years , then you might change the so - called natural cause of diseases 但是我們要考慮的是10年長(zhǎng)期的服藥,如果10年的變異率是10 % ,仍然在這10年里面,我們90 %的藥物療效是用來(lái)抑制病毒復(fù)制,而且效果好,可以延緩俗稱的自然肝病病程進(jìn)展。
This dissertation uses genetic algorithm to choose optimum parameters for the widely used pid controllers . in the optimization calculation process , mutation rate , cross rate and parameter range are adaptively changed to accelerate optimization process 本文用遺傳算法優(yōu)化工程中廣泛使用的pid控制器的參數(shù),采用變參數(shù)區(qū)間、變交叉變異概率等方法提高計(jì)算速度,并對(duì)適應(yīng)值函數(shù)進(jìn)行了改進(jìn)。
In genetics, the mutation rate is a measure of the rate at which various types of mutations occur during some unit of time. Mutation rates are typically given for a specific class of mutation, for instance point mutations, small or large scale insertions or deletions.