进化策略的英文

• evolution strategy es

• 进化    evolution
• 策略    tactics a surname
• 差异化策略    differentiation strategy; differentiationstrategy; marketing by difference
• 精化策略    refinement strategy
• 随机化策略    randomized strategy
• 非随机化策略    nonrandomized strategy
• 国际物流的十大优化策略    ten secrets of reducing cost on international logistics
• 阅读教学中的语境化策略    contextualization strategy in the teaching of reading
• 进化稳定策略    evolutionarily stable strategy ess
• 非英语专业学生英语学习动机调查及强化策略    an investigation into learning motivation and learning strategies of non-english majors
• 市区边缘及沿海地区的都会计划环境美化策略    metroplan landscape strategy for the urban fringe and coastal area
• 进化    evolution 研究人类的进化 study the evolution of man; 进化动力 dynamics of evolution; 进化论 evolutionism; theory of evolution; transformism; evolution theory; 进化遗传学 evolutionary genetics
• dna进化    dna evolution
• rrna进化    ribosomal rna evolution
• samurai进化    samurai evolution - oukoku gaist
• 大进化    macroevolution
• 共进化    co-evolution
• 后嗣；进化    descent
• 激进化    radicalization
• 进化，演化    evolution
• 进化版    dvd9 dvd5; evolution
• 进化的    evolutional; evolutionary; evolutive; evolving
• 进化卡    evolves
• 进化力    evolution force

• Sofm neural networks is embedded into evolutionary strategy ( es ) . fitness function is constructed based on the state of sofm neural networks . the sensitivity of sofm neural networks to initial weight matrix and sequence of input exemplars is overcome by the strong global optimum of es
  将sofm网络嵌入到进化策略（ es ）中，根据sofm网络的运行状态构造es的适应性函数，利用es的强搜索能力，克服sofm网络聚类效果受输入模式次序和网络初始连接权矩阵的影响。
• We proposed an improved simulated annealing algorithm with neighbor function based on self - optimization of scale parameter . furthermore incorporating disaster - modification and the improved annealing into genetic algorithm , an improved genetic - annealing algorithm is proposed . in order to solve the deceptive minimum problem , an improved evolutionary strategy combined with similarity detection and improved mutation operator
  提出了邻域尺度函数自寻优的模拟褪火算法，结合遗传算法，引入灾变算子，提出了改进遗传模拟褪火算法；为了解决寻优过程中的最小欺骗问题，我们提出了相似性检测，结合改进的适应值无关变异算子，提出了基于相似性检测和适应值无关变异算子的进化策略算法。
• * image fusion methods base on laplacian pyramid decomposition and mallat algorithm are discussed in detail , and their shortcomings are pointed out . a new method is developed to merge two spatially registered images with differing focus points based on multi - resolution wavelet decomposition and evolutionary strategy
  *详细地分析了拉普拉斯塔形分解的图像融合方法和mallat算法的小波图像融合方法中存在的问题和缺点，提出了一种基于小波分解和进化策略相结合的多聚焦图像融合方法。
• This thesis suggests a process considered minimizes the population size as similar individuals occur in the fitter members of the population , which helps reduce the execution times for ga by removing the redundancy associated with the saturation effect found in the later generation . this thesis uses a method that adds dynamic penalty terms to the fitness function according to the optimal degree of solutions , so as to create a gradient toward a feasible suboptimal or even optimal solutions . on the basis of the difference of the biggest and the smallest of fitness of individual , modifying the fitness function in order to convergence is a satisfaction
  动态调节种群大小，去掉遗传算法在迭代后期搜索产生的过多相似个体，达到减少计算时间的目的；按照解的优劣程度给适应度函数增加一个在ga搜索过程中动态改变的可变罚函数，给搜索最优解创造一个梯度，使遗传算法收敛到可行的较优解或最优解；根据适应度值最大和最小个体的差修正适应度函数，使适应度函数值适中不容易造成收敛太快、局部收敛或根本不收敛而变成随机搜索；为了避免“近亲繁殖”采用竞争择优的交叉操作；利用并行遗传算法的思想，提出一种自适应多子种群进化策略；提出人口汰新政策来解决类似甚至相同的个体的情况发生。
• Firstly this method presents a sort of fusion idea of region division based on trous multi - resolution wavelet decomposition . then , the evolutionary strategy is used to solve successfully the problem how to select threshold in dividing region . finally , an influence fusion factor is proposed and verified
  该方法首先在trous小波多分辨分解基础上建立了分区域融合的思想，并用进化策略成功地解决了区域划分中阈值如何确定的问题，然后提出并证明了一个有效的融合因子。
• Aiming at the limitation of basic evolution strategies , a kind of growth mechanism - based evolution strategies and its realization are introduced . chapter three presents the evolution strategies - based optimizing of seaport container logistics system , firstly the structure of chromosome is introduced , then a kind of hybrid mutation operation is used , the detail process of the optimizing method is also described , finally the traveling sequence optimization of the containers is introduced as an example to testify the feasibility of the new optimizing method
  在以往的港口物流系统规划研究中，遗传算法和模拟退火法是经常采用的数学方法，第三章首次研究了基于生物进化策略的港口集装箱物流系统优化方法，提出了一种基于混合变异的自然数编码进化策略算法和染色体的构造模式，并以集装箱运送顺序优化问题为例，实现了基于生物进化策略的港口集装箱物流子系统的优化。
• The individual svm is prone to fail in the intrusion detection for the fragility of being attacked . this paper addresses a method using a support vector machines ensemble approach based on negative correlation learning for intrusion detection . using a correlation penalty term in the error function , the aggregate members can be accurate and diverse . and the evolutionary strategy is considered as the best way to automatically determine the individ . ual svms hyperparameters . at last we combine the results of all individual svms using ensemble technique . this distributed parallel detection can strengthen the robustness of the system . simulation results show the effectiveness of the method presented in this paper
  在入侵检测中使用单个的支持向量机容易因"单点失效"而危害系统安全.提出一种基于支持向量机集成的方法来进行入侵检测.它采用负相关学习技术,在误差项中使用相关性惩罚因子使得生成的分类器有更好的多样性和精度;算法采用进化策略来自动地确定个体支持向量机的超参数,避免了需要了解问题的先验知识;最后,采用集成技术来组合个体支持向量机的检测结果.仿真实验表明这一方法有更好的检测性能,并且这种分布式并行检测方法有利于增加入侵检测系统的鲁棒性
• 7 . for the purpose of analyzing its asymptotic convergence properties the evolution strategy procedures for real - valued function optimization are described . two convergence theorems , which show that under suitable conditions the evolution strategy asymptotically converges to a global minimum point with probability one , are given
  对于有界闭集上的连续函数，利用作者给出的一种简洁的方法，证明了一类进化策略以概率为1收敛（几乎处处收敛）于优化问题的全局极小点，为进化算法的收敛性分析提供了一种新的模式。