自适应交叉的英文

• adaptive crossover

• "自"英文翻译    self; oneself; one's own
• "适应"英文翻译    suit; adapt; get with it; fi ...
• "交叉"英文翻译    cross connection; intersect; ...
• "自适应交" 英文翻译 :    adaptive crossover
• "自适应" 英文翻译 :    adaptive predictor; adaptiver lambda-regelung; autosensing; rj45; self adaptation; self adapting; self-adaptation; self-adapting; self-adaptive
• "自适应，（端口自适应）" 英文翻译 :    autosensing
• "后向自适应" 英文翻译 :    backward adaptation
• "空时自适应" 英文翻译 :    stap
• "跨层自适应" 英文翻译 :    cross layer
• "前向自适应" 英文翻译 :    forward adaptation
• "速率自适应" 英文翻译 :    radsl rate adaptive adsl
• "自适应，配合，匹配" 英文翻译 :    adaption
• "自适应编码" 英文翻译 :    adaptive coding
• "自适应变换" 英文翻译 :    adaptive transformation
• "自适应变异" 英文翻译 :    adaptive mutation
• "自适应采样" 英文翻译 :    adaptive sampling
• "自适应测试" 英文翻译 :    adaptive testing
• "自适应层" 英文翻译 :    aal atm
• "自适应差分" 英文翻译 :    pcm
• "自适应程序" 英文翻译 :    self adapting program; self-adapting program
• "自适应抽样" 英文翻译 :    adaptive sampling
• "自适应的" 英文翻译 :    adaptive; self adopting; self-adapting; self-sensing/autosensing
• "自适应等化" 英文翻译 :    equalization adaptive; equalization, adaptive
• "自适应电路" 英文翻译 :    adaptive circuit
• "自适应调节" 英文翻译 :    self adaptive control; self-adaption; self-adaptive control

• 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。
• The simulation results indicate the validities of the proposed hybrid optimization algorithm and the compute method of self - adaptive crossover probability and mutation probability . 2
  仿真研究表明所提混合优化算法及自适应交叉概率和变异概率的计算方法在求解本文交通信号动态优化控制问题中的有效性。
• In this genetic algorithm , each member in a supply chain alliance has a self - adaptive ability to changes in environment in the genetic process through designing crossover probability and mutation probability
  该算法设计了自适应交叉概率和变异概率，使每个个体在遗传过程中对环境变化具有自适应调节能力。
• This article used natural number encode , and did feasibility analysis . in connection with premature in genetic algorithm , this article adopted self - adapting adjustment crossover and mutation probability methods , and did simulation
  本文采用自然数编码的方式，并分析了可行性；针对算法优化中出现的“早熟”现象，提出了采用自适应交叉、变异概率法，并进行了仿真。
• So the improvement , such as the self - adaptive fitness function combined with the penalty function methods , self - adaptive crossover probability and the bp operator enlightened by neutral network , especially the bp network to improve the local optimal capacity were used
  其次结合惩罚函数法对适应度进行了优化。采用自适应交叉概率。受神经网络中bp算法的启示，构造bp算子，提高小种群遗传算法的局部搜索寻优能力。
• The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation . it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design . the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence , the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample , it assures the sample approach to the pareto optimal solution set in fast convergent speed
  较好地解决多阻尼比反应谱拟合问题；本文方法通过一次运行就能获得一组具有集系特性的地震动，在拟合多阻尼比反应谱的人造地震波集系的仿真方面有传统方法所不能比拟的优势，产生的人造波或人造波集系可满足工程抗震设计需要；在遗传算法中，交叉概率和变异概率是影响收敛速度的重要参数，本文采用的改进自适应交叉概率和变异概率，可以根据当前样本的好坏程度来自动地选择适当的交叉概率和变异概率，以保证算法始终以较好的速度向pareto最优解集逼近。
• When carrying on the distribution network reactive power coordination optimization , the discrete values of compensation capacitor are obtained using adaptive crossover step genetic algorithm on the basis of consideration of bo th network reconfiguration based on ts algorithm and compensation capacitors continuous variable optimization , accordingly the high efficiency and global optimal solution of network coordination reactive optimization are achieved
  对配电网络无功综合优化，本文提出在同时考虑基于禁忌算法的配电网络重构和补偿电容器连续变量优化的基础上，再应用自适应交叉步长遗传算法进行离散变量求解，获得补偿电容器的离散量值。
• 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
  提出了对各约束条件处理的方法，针对遗传算法收敛慢等的不足，提出将遗传算法和模拟退后技术相结合，并采用自适应交叉和变异率的解决方法。同时也考虑了混合泵站采用遗传算法求解的具体实现步骤和算法。
• 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。
• In the algorithm , a real - coded genetic algorithm ( rga ) is firstly adopted to globally search for the optimal solution to the optimization problem for some steps , and then a specially designed local optimization algorithm named modifiable search space random search algorithm is adopted to intensify the search for the optimal solution in the local region determined by the rga so as to improve the search efficiency and the solution quality
  该算法首先采用实值编码遗传算法对优化问题进行全局最优搜索若干步，在此基础上，采用一种专门设计的变搜索空间随机搜索局部优化算法加强对重点区域的搜索，以提高搜索效率和改善解的质量。此外，为了提高遗传算法的搜索效率，改进了一种自适应交叉概率和变异概率的计算方法。