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英语翻译Criticalparametersofageneticalgorithmaresizeofthepopulation,mutationrate,numberofiterations(i.e.generations),etc.Inthisstudy,populationsizeof50,crossoverrateof1.0,mutationrateof0.1,bitnumberforeachvariableof
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英语翻译
Critical parameters of a genetic algorithm are size of the population,mutation rate,number of iterations (i.e.generations),etc.In this study,population size of 50,crossover rate of 1.0,mutation rate of 0.1,bit number for each variable of 16 and number of generations of 2500 are employed.Optimization history with iterations for warpage is shown in Fig.7.Since GA converges to an optimum after about 250 iterations,optimization history only up to 250 iterations is demonstrated in Fig.7.Warpage values on reference points for before and afteroptimization arecompared in Table 6.As seen inTable6,warpage values at most of the reference points are reduced significantly although they are slightly increased at some points.When maximum warpage is considered,it is seen that maximum warpage on the lamp base model,which is2.47mm before the optimization,is reduced to 1.32mm by 46.5% after optimization.In Table6,(-)and (no sign,i.e.+) values indicate reduction and increase in warpage respectively at reference points.
加上这一段基本就要全部完成了,
Critical parameters of a genetic algorithm are size of the population,mutation rate,number of iterations (i.e.generations),etc.In this study,population size of 50,crossover rate of 1.0,mutation rate of 0.1,bit number for each variable of 16 and number of generations of 2500 are employed.Optimization history with iterations for warpage is shown in Fig.7.Since GA converges to an optimum after about 250 iterations,optimization history only up to 250 iterations is demonstrated in Fig.7.Warpage values on reference points for before and afteroptimization arecompared in Table 6.As seen inTable6,warpage values at most of the reference points are reduced significantly although they are slightly increased at some points.When maximum warpage is considered,it is seen that maximum warpage on the lamp base model,which is2.47mm before the optimization,is reduced to 1.32mm by 46.5% after optimization.In Table6,(-)and (no sign,i.e.+) values indicate reduction and increase in warpage respectively at reference points.
加上这一段基本就要全部完成了,
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答案和解析
遗传算法的临界参数是 :初始群体大小,变异率,迭代步数,例如繁殖数等.在这课题中,初始群体大小是50,交叉率是1.0,变异率是0.1,采取了每个16的变动及2500的迭代数的数位.优化历史包括翘曲历程显示在数字7.遗传算法在约250个迭代步数后聚集于最优化,优化历史仅上升至250个迭代步数就证明到数字7 .翘曲值域在参考各点的优化值先后被合并在列表6.如列表6所示,翘曲值在大多数参考点明显减少,尽管他们在某些点略微增长.当考虑到最大翘曲度时,看来在灯基模型上,最大翘曲度在最优化前的2.47mm,有46.5%的几率在最优化后就减少到1.32mm .在列表6中,(-)和(无符号,也就是+)值域表示翘曲度在各自的参考点的减少和增加.
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