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    Design of Anomaly Based Intrusion Detection System Using Support Vector Machine and Grasshopper Optimization Algorithm in IoT by Sepehr Sharifi, Soulmaz Gheisari

    Published 2024-02-01
    “…In this study, after collecting and preparing data, the improved support vector machine with grasshopper optimization algorithm is used as a proposed method to detect anomaly-based intrusion in the Internet of Things. …”
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    Path planning in radioactive environment of nuclear facilities based on modified A-star algorithm and search neighborhood optimization by Biao Zhang, Xingfu Cai, Guoqiang Li, Xiaomeng Li, Minjun Peng, Haowei Wang

    Published 2025-10-01
    “…The results show that the cumulative dose of the modified algorithm is comparable to the traditional A-star algorithm, but the average execution point is reduced by 53.06 % and the computation time is shortened by 24.23 %. …”
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  10. 1370

    GA-VAE: Enhancing Local Feature Representation in VQ-VAE Through Genetic Algorithm-Based Token Optimization by Jinghui Jiang, Dongjoon Kim, Bohyoung Kim, Yeong-Gil Shin

    Published 2025-01-01
    “…Our proposed Codebook Genetic Algorithm (CGA) selectively optimizes these underutilized tokens by applying genetic operations to enhance their representation capability while maintaining the well-learned features of frequently used tokens. …”
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    Optimizing the neural network and iterated function system parameters for fractal approximation using a modified evolutionary algorithm by Sana Abdulla, K. Mahipal Reddy

    Published 2025-04-01
    “…In this study, we propose an evolutionary optimization strategy to enhance the accuracy and adaptability of RFC splines by optimizing their scaling factor and shape parameters using our novel Fractal Differential Evolution (FDE) algorithm. …”
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    CacheCraft: A Topology-Aware PageRank Centrality Algorithm for Cache Optimization in Named Data Networking by Ridha M. Negara, Nana R. Syambas, Eueung Mulyana, Rashid M. Fajri, Mochamad S. Budiana

    Published 2025-04-01
    “…Moreover, CacheCraft maintains algorithmic computational efficiency, making it suitable for real-world deployment in complex and dynamic NDN environments. …”
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    Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting by Panke Qin, Yongjie Ding, Ya Li, Bo Ye, Zhenlun Gao, Yaxing Liu, Zhongqi Cai, Haoran Qi

    Published 2025-05-01
    “…To address the performance limitations of Spiking Neural Networks (SNNs) caused by hyperparameter sensitivity, this study proposes an SNN model optimized by an Improved Cuckoo Search (ICS) algorithm (termed ICS-SNN). …”
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