ID 原文 译文
25335 为了更好地揭示图像和文本之间潜在的语义关联，提出了一种融合两级相似度的跨媒体检索方法，构建两个子网分别处理全局特征和局部特征，以获取图像和文本之间更好的语义匹配。 To better reveal the latent semantic correlation between image and text, this paper proposes a cross media retrieval method by fusing two level similarity, which constructs two subnets to deal with global features and local features respectively so as to obtain better semantic matching between image and text．
25336 图像分为整幅图像和一些图像区域两种表示，文本也分为整个语句和一些单词两种表示。 The image representation is divided into whole image and some image regions, and the text representation is also divided into whole sentence and some words．
25337 设计一个两级对齐方法分别匹配图像和文本的全局和局部表示，并融合两种相似度学习跨媒体的完整表示。 A two level alignment method is designed to match the global and local representation of image and text, and the two similarities are fused to learn the complete cross-media representation．
25338 在 MSCOCO 和 Flickr30K 数据集上的实验结果表明，本文方法能够使图像和文本的语义匹配更准确，优于许多当前先进的跨媒体检索方法。 The experimental results on MSCOCO and Flickr30K datasets show that the proposed method can make the semantic matching of image and text more accurate, and is superior to many state-of-the-art cross-media retrieval methods．
25339 针对绿色零等待作业车间调度问题，本文提出一种基于分布估计算法(Estimation of Distribution Algo-rithm，EDA)的多目标优化算法，用于最小化最大完工时间和总能量消耗。 A multi-objective optimization algorithm based on estimation of distribution algorithm, namely EDA (Estimation of Distribution Algorithm) is presented to minimize the maximum completion time and the total energy consumption for the green no-wait job shop scheduling problem (GNWJSSP)．
25340 采用双种群增加种群的多样性，并加入启发式操作 NEH(Nawaz-Enscore-Ham，NEH)来提高初始解的质量。 Double populations are used to increase the diversity of the population, and a heuristic operation named NEH (Nawaz-Enscore-Ham) is added to improve the quality of the initial solution.
25341 设计自适应学习速率来控制优良解信息在整个算法搜索过程中的引导作用。 An adaptive learning rate is designed to control the guidance of the information of excellent solutions during the entire algorithm search process．
25342 结合零等待作业车间调度问题的结构性质与解码方式，提出基于前端省略的快速评价方法，同时利用 Insert 操作构建两种局部搜索策略，进而加强算法的搜索效率和深度。 Combined with the structural properties and decoding method of the no-wait jobshop scheduling problem, a fast evaluation method based on the front omission strategy is proposed, and two local search strategies are constructed by utilizing the Insert operation, thereby enhancing the search efficiency and depth of the algorithm．
25343 通过仿真实验和算法对比验证所提算法的有效性。 The effectiveness of the proposed algorithm for solving GNWJSSP is verified by simulation experiments and algorithm comparisons．
25344 本文针对一类柔性作业车间调度问题，综合考虑运输资源约束、工件间准备时间约束等条件，以最小化最大完工时间和能耗为目标，提出了一种改进的人工蜂群优化算法。 The flexible job shop scheduling problem is investigated, where the transportation resource and operation related setup time constraints are considered simultaneously. The objective is to minimize the maximum completion time and the energy consumption．