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  • Open Access

    ARTICLE

    An Improved Honey Badger Algorithm through Fusing Multi-Strategies

    Zhiwei Ye1, Tao Zhao1, Chun Liu1,*, Daode Zhang1, Wanfang Bai2

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1479-1495, 2023, DOI:10.32604/cmc.2023.038787

    Abstract The Honey Badger Algorithm (HBA) is a novel meta-heuristic algorithm proposed recently inspired by the foraging behavior of honey badgers. The dynamic search behavior of honey badgers with sniffing and wandering is divided into exploration and exploitation in HBA, which has been applied in photovoltaic systems and optimization problems effectively. However, HBA tends to suffer from the local optimum and low convergence. To alleviate these challenges, an improved HBA (IHBA) through fusing multi-strategies is presented in the paper. It introduces Tent chaotic mapping and composite mutation factors to HBA, meanwhile, the random control parameter is improved, moreover, a diversified updating… More >

  • Open Access

    ARTICLE

    Automatic Image Annotation Using Adaptive Convolutional Deep Learning Model

    R. Jayaraj1,*, S. Lokesh2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 481-497, 2023, DOI:10.32604/iasc.2023.030495

    Abstract Every day, websites and personal archives create more and more photos. The size of these archives is immeasurable. The comfort of use of these huge digital image gatherings donates to their admiration. However, not all of these folders deliver relevant indexing information. From the outcomes, it is difficult to discover data that the user can be absorbed in. Therefore, in order to determine the significance of the data, it is important to identify the contents in an informative manner. Image annotation can be one of the greatest problematic domains in multimedia research and computer vision. Hence, in this paper, Adaptive… More >

  • Open Access

    ARTICLE

    Honey Badger Algorithm Based Clustering with Routing Protocol for Wireless Sensor Networks

    K. Arutchelvan1, R. Sathiya Priya1,*, C. Bhuvaneswari2

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3199-3212, 2023, DOI:10.32604/iasc.2023.029804

    Abstract Wireless sensor network (WSN) includes a set of self-organizing and homogenous nodes employed for data collection and tracking applications. It comprises a massive set of nodes with restricted energy and processing abilities. Energy dissipation is a major concern involved in the design of WSN. Clustering and routing protocols are considered effective ways to reduce the quantity of energy dissipation using metaheuristic algorithms. In order to design an energy aware cluster-based route planning scheme, this study introduces a novel Honey Badger Based Clustering with African Vulture Optimization based Routing (HBAC-AVOR) protocol for WSN. The presented HBAC-AVOR model mainly aims to cluster… More >

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