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    Blind Parameter Identification of MAR Model and Mutation Hybrid GWO-SCA Optimized SVM for Fault Diagnosis of Rotating Machinery by Wenlong Fu, Jiawen Tan, Xiaoyuan Zhang, Tie Chen, Kai Wang

    Published 2019-01-01
    “…As a crucial and widely used component in industrial fields with great complexity, the health condition of rotating machinery is directly related to production efficiency and safety. …”
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    Enhanced Success History Adaptive DE for Parameter Optimization of Photovoltaic Models by Yingjie Song, Daqing Wu, Ali Wagdy Mohamed, Xiangbing Zhou, Bin Zhang, Wu Deng

    Published 2021-01-01
    “…The different PV models are selected to prove the effectiveness of the proposed method. …”
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    Article
  8. 908

    IHDETBO: A Novel Optimization Method of Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing by Li-Nan Zhu, Peng-Hang Li, Xiao-Long Zhou

    Published 2019-01-01
    “…These candidate services will be selected and composed together to complete a complex manufacturing task. …”
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    Application of Multiple-Population Genetic Algorithm in Optimizing the Train-Set Circulation Plan Problem by Yu Zhou, Leishan Zhou, Yun Wang, Zhuo Yang, Jiawei Wu

    Published 2017-01-01
    “…However, TCPP involves additional complexity due to the maintenance constraint of train-sets: train-sets must conduct maintenance tasks after running for a certain time and distance. …”
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    Neighbor Similarity Based Agglomerative Method for Community Detection in Networks by Jianjun Cheng, Xing Su, Haijuan Yang, Longjie Li, Jingming Zhang, Shiyan Zhao, Xiaoyun Chen

    Published 2019-01-01
    “…Community structures can reveal organizations and functional properties of complex networks; hence, detecting communities from networks is of great importance. …”
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    Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation by Lin Sun, Suisui Chen, Jiucheng Xu, Yun Tian

    Published 2019-01-01
    “…By comparing the opposition-based population with the original population, the better individuals are selected and pass to the next generation, and then this process can efficiently prevent the MBO from falling into a local optimum. …”
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