Showing 1,841 - 1,860 results of 4,960 for search '(intelligent OR intelligence) optimization algorithms', query time: 0.25s Refine Results
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    Optimal Power Flow Based on a Metaheuristics Optimization Approach for the Iraqi Super High Voltages Network by Ali Almosawi, Mesut Cevik, Aysel Ersoy

    Published 2025-01-01
    “…In this work, the proposed approach uses genetic algorithm (GA) and camping the Hybrid Particle Swarm Optimization and Genetic algorithm (HPSO+GA) as an intelligent methods to perform optimal power flow. …”
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    Article
  3. 1843
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    Deep Learning-Based Portfolio Management: Empirical Study of Listed Shares on the Indonesian Stock Exchange by Grace Citra Dewi, Patrick Villanueva, Sutanto Hidayat, Elysabeth Christy Diandra Selano

    Published 2024-12-01
    “…Therefore, an accurate analysis model is needed for stock selection management. One algorithm model often used is Deep Learning Long Short Term Memory, which utilizes artificial intelligence (AI) and machine learning technology. …”
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  5. 1845
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    Development characteristics and intelligent identification method of natural fractures: A case study of the Upper Triassic Xujiahe Formation in the western Sichuan Depression, Sich... by LI Wei, WANG Min, XIAO Dianshi, JIN Hui, SHAO Haoming, CUI Junfeng, JIA Yidong, ZHANG Zeyuan, LI Ming

    Published 2025-06-01
    “…Additionally, to balance computational efficiency and accuracy, the genetic algorithm was selected as the optimization algorithm for hyperparameter tuning, outperforming grid search, Bayesian optimization, and particle swarm optimization algorithms. …”
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  7. 1847

    Research on LSTM-PPO Obstacle Avoidance Algorithm and Training Environment for Unmanned Surface Vehicles by Wangbin Luo, Xiang Wang, Fang Han, Zhiguo Zhou, Junyu Cai, Lin Zeng, Hong Chen, Jiawei Chen, Xuehua Zhou

    Published 2025-02-01
    “…In response to the above problems, this paper proposes a long and short memory network-proximal strategy optimization (LSTM-PPO) intelligent obstacle avoidance algorithm for non-particle models in non-ideal environments, and designs a corresponding deep reinforcement learning training environment. …”
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  8. 1848
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    A Comparison of the Black Hole Algorithm Against Conventional Training Strategies for Neural Networks by Péter Veres

    Published 2025-07-01
    “…R2024a, avoiding reliance on pre-optimized libraries to isolate algorithmic behavior. …”
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  11. 1851
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    Max–Min Secrecy Rate and Secrecy Energy Efficiency Optimization for RIS-Aided VLC Systems: RSMA Versus NOMA by Omar Maraqa, Sylvester Aboagye, Majid H. Khoshafa, Telex M. N. Ngatched

    Published 2025-01-01
    “…Moreover, the increased degree of freedom and flexibility from the joint consideration of power control, RIS association and element orientation results in a large set of decision variables and constraints, which further complicates the optimization problem. To that end, we utilize a genetic algorithm-based solution method, which through its exploration and exploitation capabilities can obtain a good quality solution. …”
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  14. 1854
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    Impact of Coordinated Electric Ferry Charging on Distribution Network Using Metaheuristic Optimization by Rajib Baran Roy, Sanath Alahakoon, Piet Janse Van Rensburg

    Published 2025-05-01
    “…A dynamic model of BESS operation is optimized using a balanced hybrid metaheuristic algorithm combining GA-PSO-BFO (Genetic Algorithm-Particle Swarm Optimization-Bacterial Foraging Optimization). …”
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  16. 1856

    A Review of QoS-Driven Task Scheduling Algorithms and Their Impact on Data Quality in Process Management by Anupam Yadav, Ashish Sharma

    Published 2025-02-01
    “…According to this study, the scheduling algorithms that are used by researchers 80% of the time include the genetic algorithm in bio-inspired systems and particle swarm optimization in swarm intelligence. …”
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  17. 1857

    Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots by Haokai Lv, Qian Qian, Jiawen Pan, Miao Song, Yong Feng, Yingna Li

    Published 2025-07-01
    “…To address these limitations, this study proposes the Multi-Strategy Controlled Rime Algorithm (MSRIME), whose innovation primarily manifests in three aspects: first, it constructs a multi-strategy collaborative optimization framework, utilizing an infinite folding Fuch chaotic map for intelligent population initialization to significantly enhance the diversity of solutions; second, it designs a cooperative mechanism between a controlled elite strategy and an adaptive search strategy that, through a dynamic control factor, autonomously adjusts the strategy activation probability and adaptation rate, expanding the search space while ensuring algorithmic convergence efficiency; and finally, it introduces a cosine annealing strategy to improve the step size adjustment mechanism, reducing parameter sensitivity and effectively preventing path distortions caused by abrupt step size changes. …”
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    A Comprehensive Survey on AI in Counter-Terrorism and Cybersecurity: Challenges and Ethical Dimensions by Ioannis Syllaidopoulos, Klimis S. Ntalianis, Ioannis Salmon

    Published 2025-01-01
    “…This paper provides a comprehensive overview of AI methodologies, such as predictive analytics, Natural Language Processing (NLP), and machine learning architectures (e.g., Support Vector Machines – SVM and Long Short-Term Memory – LSTM), and optimization algorithms (e.g., Particle Swarm Optimization – PSO), assessing their effectiveness in security applications. …”
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