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交叉率的英文

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"交叉率"怎么读用"交叉率"造句

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  • crossing-over rate

例句与用法

  • 2 ) for the ability of searching , a formula of adaptive crossover rate decreasing with the increasing of genetic generation
    2 )设计出余弦下降的自适应交叉率公式以改善遗传算法搜索能力。
  • In order to speed up the convergence , the crossover and mutation rates are adjusted with on - line fuzzy control according to the evolution situation
    为加快收敛速度,根据种群进化情况对交叉率和变异率进行在线模糊控制。
  • Genetic algorithm is adopted to solve this problem . the method using several chromosomes express a scheme is presented . crossover rate and mutation rate are automatically adjusted by fuzzy control to quicken search procedure and avoid immature convergence
    本文引入了遗传算法来解决这一问题,提出了采用多条染色体表示一组方案的方法,并对遗传操作过程中的交叉率和变异率进行了模糊控制,有效的加快了搜索速度,避免了不成熟收敛。
  • Router congestion control strategies are also proposed . secondly , a new multicast routing algorithm based on double chromosomes genetic algorithm is realized . the simulation results show that this algorithm can get better convergent effect and select best routing under proper system parameters
    然后重点介绍了本文提出的一种基于双倍体遗传算法的组播路由算法,仿真结果表明该算法能够在参数(种群规模、浙江工业大学硕士学位论文摘要交叉率及变异率)选择适当的情况下,取得较好的收敛效果,并可以确定最优路由。
  • 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
    对于有时间窗的非满载vsp问题,将货运量约束和时间窗约束转化为目标约束,建立了vsp模型,使用最大保留交叉、交叉率和变异率的自适应调整等技术,设计了给予自然数编码的可同时处理软、硬时间窗约束的遗传算法,实验分析取得了较好的结果。
  • This article , using maximum reservation crossover , self - adapting adjustment technique , designed suitable genetic algorithm based on natural number encode , which showed well ability in as / rs optimization , and indicated genetic algorithm has spacious application prospect in material flow system optimization
    本文利用最大保留交叉、交叉率和变异率自适应调整等技术,设计了基于自然数编码的遗传算法,在as rs的优化中显示了优良的性能。同时这也预示着遗传算法在物流系统优化问题中具有广阔的应用前景。
  • On the base of the research of the theory of genetic algorithm and the method of genetic operation , improved on the method of genetic operation , put forward one formula of the adaptive crossover and adaptive mutation , proved the genetic algorithm ability of the global optimization result in non - linear combination optimization by the math example
    在对遗传算法的理论和遗传操作方法进行研究的基础上,对遗传操作进行了部分改进,构造了一种自适应交叉率和变异率的公式,通过数学算例证明了遗传算法在非线性组合优化问题中全局搜索能力。
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