Showing 721 - 740 results of 2,171 for search 'Local research algorithm', query time: 0.19s Refine Results
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    A Novel Hybrid Differential Evolutionary Algorithm for Solving Multi-objective Distributed Permutation Flow-Shop Scheduling Problem by Xinzhe Du, Yanping Zhou

    Published 2025-03-01
    “…Abstract The Distributed Permutation Flow-Shop Scheduling Problem (DPFSP) is a classic issue in distributed scheduling that involves job allocation and processing order within a factory, and it is known to be NP-hard. Numerous researchers have proposed various intelligent optimization algorithms to address the DPFSP; however, there are fewer studies related to the multi-objective DPFSP problem, and the algorithms for solving this problem also suffer from poor solution quality and tend to fall into local optimization and so on. …”
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    Multi-Objective Scheduling Optimization of Prefabricated Components Production Using Improved Non-Dominated Sorting Generic Algorithm II by Yishi Zhao, Shaokang Du, Ming Tu, Haichuan Ma, Jianga Shang, Xiuqiao Xiang

    Published 2025-02-01
    “…The algorithm incorporates adaptive operators and greedy concepts for local search, enhancing solution exploration and diversity. …”
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  7. 727

    Tightly Coupled SLAM Algorithm Based on Similarity Detection Using LiDAR-IMU Sensor Fusion for Autonomous Navigation by Jiahui Zheng, Yi Wang, Yadong Men

    Published 2024-12-01
    “…In recent years, the rise of unmanned technology has made Simultaneous Localization and Mapping (SLAM) algorithms a focal point of research in the field of robotics. …”
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  8. 728

    Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time–Frequency Analysis and VGG Convolutional Neural Network by Yaqing Liu, Yalin Wang, Tiancheng Wang

    Published 2025-04-01
    “…Non-invasive automatic localization of epileptogenic zone can be used to guide electrode implantation and improve the effectiveness and safety of neurosurgical treatments. …”
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    A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks by LiJuan Bai, Jiao Wu, Li Chen, Xin Jiang, ZhuYin Song

    Published 2024-12-01
    “…Then, after the pre-processing operation, the process of segmentation and identification of the region of interest (ROI) is performed using a combination of the fuzzy c-means (FCM) algorithm and the capuchin search algorithm (CapSA) algorithm. …”
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    Efficient Task Scheduling Approach in Edge-Cloud Continuum based on Flower Pollination and Improved Shuffled Frog Leaping Algorithm by Nasiru Muhammad Dankolo Dankolo, Nor Haizan Mohamed Radzi, Noorfa Haszlinna Mustaffa, Mohd Shukor Talib, Zuriahati Mohd Yunos, Danlami Gabi

    Published 2024-02-01
    “…An efficient scheduling strategy for distributing workloads among virtual machines in the edge-cloud continuum data center is mandatory to ensure the fulfilment of QoS requirements for both customer and service provider. Existing research used metaheuristic algorithm to solve tak scheduling problem, however, must of the existing metaheuristics used suffers from falling into local mina due to their inefficiency to avoid unfeasible region in the solution search space. …”
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    Anti-Collision Path Planning and Tracking of Autonomous Vehicle Based on Optimized Artificial Potential Field and Discrete LQR Algorithm by Chaoxia Zhang, Zhihao Chen, Xingjiao Li, Ting Zhao

    Published 2024-11-01
    “…By integrating a distance adjustment factor, this research aims to rectify traditional APF limitations. …”
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  14. 734

    Global optimization of economic load dispatch in large scale power systems using an enhanced social network search algorithm by Mohamed H. Hassan, Salah Kamel, Francisco Jurado, Umberto Desideri

    Published 2024-02-01
    “…By iteratively exploring the solution space, metaheuristics offer a higher likelihood of finding near-optimal solutions, even in the presence of multiple local optima. This research introduces an enhanced social network search (ESNS) algorithm as an improvement over the existing social network search (SNS) algorithm, aiming to achieve the aforementioned objectives. …”
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    Predictors of pathological complete response after total neoadjuvant treatment using short course radiotherapy for locally advanced rectal cancer by Haythem Yacoub, Yosr Zenzri, Dhouha Cherif, Hajer Ben Mansour, Najla Attia, Cyrine Mokrani, Khadija Ben Zid, Feryel Letaief, Nadia Maamouri, Amel Mezlini

    Published 2025-03-01
    “…Abstract Background Total neoadjuvant treatment (TNT) has become a standard treatment approach for locally advanced rectal cancer (LARC). Patients achieving pathological complete response (pCR) following TNT have better outcomes (overall survival, relapse free survival). …”
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