ID 原文 译文
2953 针对布谷鸟算法采用整体评价策略处理多维度自变量相关优化问题时，维度耦合现象会恶化算法的搜索速度和收敛精度，提出均衡单进化的布谷鸟算法(ESCES)。 For the whole evaluation strategy in cuckoo search algorithm in the face of multi-dimension function opti-mization problems, the coupling phenomena among dimensions will deteriorate the search speed and convergence accuracy. Therefore, a new cuckoo search algorithm based on the equilibrium single evolution mechanism is proposed.
2954 该算法给出一种新型的均衡单进化函数评价策略，即每一代进化只随机更新目标函数的单个维度，并且随机更新的维度服从均匀分布，避免多维度之间互相干扰。 Then, a new e-quilibrium single evolution evaluation strategy is also used to update randomly the single dimension of the objective functionon each iteration. Note that the randomly updated dimensions obey the uniform distribution to avoid mutual interference be-tween dimensions.
2955 同时，提出两种新型随机游动步长更新学习律，提高了优化算法的全局搜索速度和收敛精度。 Furthermore, two new random walking update laws are proposed to improve the global search speed and convergence accuracy.
2956 实验测试结果和显著性统计结果表明，ESCES 算法与 5 个改进 CS 算法及 7 个其它最新智能优化算法相比，在全局寻优性能、搜索速度和收敛精度上均获得较大的改进。 The results of the 10 benchmark functions and statistical significance demonstrate that ESCES algo-rithm has a great improvement in global optimization performance, search speed and convergence accuracy compared with the five modified CS algorithms and seven other state-of-the art algorithms.
2957 模糊 C 均值(FCM)算法是一种基于贪心思想的迭代算法，算法沿迭代序列收敛到一个极小值，但存在搜索能力弱、易陷入局部最优的缺点。 The fuzzy c-Means algorithm is a kind of iterative algorithms based on greedy algorithms. It converges to alocal minimum value along the iteration sequence, yet it has the insufficient searching ability and can easily fall into local op-timum solution.
2958 本文提出了一种基于禁忌搜索的模糊聚类算法，该算法在一个解的邻域内使用禁忌搜索，并采用了基于 FCM 局部收敛性质的长期表禁忌策略，保证在不断移动搜索起点的同时避免重复搜索; This paper, based on tabu search, introduces a fuzzy clustering algorithm. It uses tabu search in a solution'sneighborhood and adopts the tabu strategy of long-term tabu lists based on the local convergence of FCM, which guarantees to move the search starting point constantly and avoids repeated searching.
2959 其次使用混沌优化思想与动态步长策略来提升算法的全局搜索能力，以达到获取全局最优解的目的。 In addition, chaos optimization and dynamic stepstrategies are utilized to strengthen its global search ability in order to achieve global optimal solution.
2960 实验结果表明，改进算法极大地提高了聚类准确率，并具有良好的稳定性，与群智算法和遗传算法的优化相比也具有一定的优势。 Experimental results show that this algorithm improves the accuracy of clustering considerably and has great stability. Compared with group-wisealgorithm and genetic algorithm, this algorithm also has some advantages.
2961 对三结构各向同性包覆燃料颗粒相衬 CT 图像的噪声和伪像抑制进行了初步探索，提出了三种方法分别抑制由探测器随机噪声、非线性漂移以及灵敏度非均匀性所导致的图像噪声或伪像。 The purpose of the study was to reduce the noise and artifact in the phase-contrast computed tomography im-age of a tristructural-isotropic coated fuel particle. Three algorithms were proposed to reduce the noise and artifacts caused by the stochastic noise, non-linear drifting, and non-uniform sensitivity of the imaging detector, respectively.
2962 对抑制噪声或伪像前后的图像质量进行了主观评价以及定量分析，结果表明，本文提出的三种方法在有效抑制上述三种类型噪声或伪像的同时仍然能够保证重建图像中不同结构间边缘的清晰度。 Subjective and quanti-tative evaluations were conducted before and after applying the algorithms. The results demonstrated that the proposed algo-rithms effectively reduced the three types of noise and artifacts, leaving the boundaries between different structures intact.