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    Genetic algorithm-enhanced linear quadratic control for balancing bicopter system with non-zero set point by Esa Apriaskar, Dhidik Prastiyanto, Aryo Baskoro Utomo, Akhyar Abdillah Manaf, Ilya Amelia, Dimas Alfarizky Ilham, Viyola Lokahita Bilqis, Chonlatee Photong

    Published 2023-12-01
    “…However, the unique two rotors design presents a challenge in designing a controller that achieves good stability, fast settling time, and the ability to overcome oscillations simultaneously. This article proposes a new control method for bicopter that uses a genetic algorithm optimization approach in the linear quadratic (LQ-GA) control method. …”
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    Article
  3. 9083

    AGV Scheduling and Energy Consumption Optimization in Automated Container Terminals Based on Variable Neighborhood Search Algorithm by Ning Zhao, Rongao Li, Xiaoming Yang

    Published 2025-03-01
    “…Finally, the influence of the number and speed of AGVs on the total energy consumption is discussed, and the optimization performance of the variable neighborhood search algorithm and genetic algorithm is compared through computational experiments. …”
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    Article
  4. 9084

    Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments by Alberto del Rio, David Jimenez, Javier Serrano

    Published 2024-01-01
    “…This research article presents a comparison between two mainstream Deep Reinforcement Learning (DRL) algorithms, Asynchronous Advantage Actor-Critic (A3C) and Proximal Policy Optimization (PPO), in the context of two diverse environments: CartPole and Lunar Lander. …”
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    Article
  5. 9085

    Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network by Yi Zhou, ChangQing Zeng, ZhenDong Mu

    Published 2023-03-01
    “…Traffic accidents caused by fatigue driving are also increasing year by year. In this article, the authors propose a functional brain network‐based driving fatigue detection method and seek to combine features and algorithms with optimal effect. …”
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    Article
  6. 9086

    An Educational Approach to Higgs Boson Hunting Using Machine Learning Classification Algorithms on ATLAS Open Data by Ayşe Bat

    Published 2023-09-01
    “…In order to discover a solution to the binary classification problem that was discussed earlier, six distinct classification algorithms were utilized. This article also compares the performance of these classification algorithms, including Linear Support Vector Machines (SVM), Radical SVM, Logistic Regression, K-Nearest Neighbours, XGBoost Classifier, and the AdaBoost Classifier. …”
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    Article
  7. 9087

    A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) Algorithm by Dabin Jia, Dazhi Wang

    Published 2024-10-01
    “…To address the multi-peak characteristics of the P-U output characteristic curve when the photovoltaic array is partially shaded, a Maximum Power Point Tracking (MPPT) method combining Harris Hawk optimization, and a variable step conductance increment method is proposed in this article. Although the Harris Hawk Optimization algorithm has advantages in optimizing multi-modal P-U curves, when the lighting conditions suddenly change, the output characteristic curve will undergo drastic changes, causing the algorithm to oscillate repeatedly at the maximum power point. …”
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    Article
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