GENETIC SOLUTION METHODS FOR PROBLEM OF STORES SHIPMENT OPTIMAL PLANNING by Alina V. Basova, Pavel G. Belyavskiy

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Intra-Net Cognitive Radio Intelligent Utility Maximization using Adaptive PSO-Gradient Algorithm by Imran Ullah Khan

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Dynamic optimal scheduling of airport special vehicles in complex operating environment by Yonghong Liu, Min Peng, Zhihong Zhang, Jicheng Yang

“…This study focuses on the refueling vehicle as a case study and develops a dual-objective mixed integer programming model aimed at minimizing both the number of vehicles required and the total time spent on waiting, driving, and resource supplementation for special vehicles. An iterative algorithm, integrating the rolling time domain approach with the multi-chromosome band elite strategy from the non-dominated sorting genetic algorithm (NSGA-Ⅱ), is designed to solve the model. …”
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A Q-Learning Proposal for Tuning Genetic Algorithms in Flexible Job Shop Scheduling Problems by Christian Perez, Carlos March, Miguel A. Salido

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Advancing Dynamic-Time Warp Techniques for Correcting Eye Tracking Data in Reading Source Code by Naser Al Madi

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Cervical Cancer Detection Using Deep Neural Network and Hybrid Waterwheel Plant Optimization Algorithm by Sarah A. Alzakari, Amel Ali Alhussan, S.K. Towfek, Marwa Metwally, Dina Ahmed Salem

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Investigation of the Effect of Climate Change on the Optimization of Dam reservoir operation using Dolphin Echolocation and Gravitational Search Algorithms (Case study: Lar Dam Bas... by Hediyeh Sadeghijou, Amirpouya Sarraf, Hassan Ahmadi

“…Considering the recent human activities and the resulting climate change in optimizing the operation of the dam reservoir, the effects of climate change should be noticed. In this research, in order to extract command curves by dolphin echolocation and gravitational search algorithms, the monthly inflow of the reservoir, the reservoir storage volume, and the downstream demand of the reservoir in case of climate change were calculated .The optimal output values of the reservoir of Lar Dam (located in Larijan, Amol City) were determined by the approach of minimizing the total square of the monthly relative deficiencies in supply demand and climate change conditions based on the river flow According to the research, by using HADCM3 and scenarios RCP2.6, RCP4.5, and RCP 8.5, climate change has increased the maximum temperature by 5%, 5.2%, and 6.2%, respectively. …”
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Controllability-Oriented Placement of Actuators for Active Noise-Vibration Control of Rectangular Plates Using a Memetic Algorithm by Stanisław WRONA, Marek PAWEŁCZYK

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Research on time forecasting model in digital twin for logistic activity in intelligent manufactory by Fusheng Qiu, Hongjun Wang, Tang Tang, Liang Wang, Ming Chen

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Implementation of Fisher-Yates Shuffle and Fuzzy Tsukamoto in Nusantara Educational Game by Khairul Insan Karim, Chairunnisa Lamasitudju, Ryfial Azhar, Fizar Syafaat, Anisa Yulandari

“…The game incorporates the Fisher-Yates Shuffle algorithm to randomize questions and answers, ensuring variety, and the Fuzzy Tsukamoto algorithm to calculate scores based on player performance for fair and competitive assessment. …”
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Applicability of Artificial Intelligence in Smart Healthcare Systems for Automatic Detection of Parkinson’s Disease by Harikumar Pallathadka, S.J.R.K. Padminivalli V., M. Vasavi, P. Nancy, Mohd Naved, Harish Kumar, Samrat Ray

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Optimizing energy efficiency and indoor thermal comfort in rural self-built housing: A comparative study of GA and EA algorithms by Chen Chen, Yuanyuan Wei

“…With the growing global focus on sustainable building design, reducing energy consumption and carbon emissions while improving indoor thermal comfort has become a critical research goal. This study investigates how building design parameters influence electricity consumption, CO2 emissions, and indoor thermal comfort, and compares the performance of Genetic Algorithm (GA) and Evolutionary Algorithm (EA) in optimizing these objectives. …”
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Evaluating the Efficiency of Gray Wolf Optimization and Colonial Competition Algorithm in Load Balancing of Distributed Systems by Asghar Molaei-Yeznabad, Amirhossein Dehghani

“…Comparative evaluations with algorithms like the Colonial Competitive Algorithm (CCA) provide a strong foundation for future research. …”
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Monitoring shrub disturbance in the Qinghai–Tibet Plateau from 1990 to 2022 using the LandTrendr algorithm by Chunchun An, YuanYuan Hao, Xuexia Liu, Zhe Meng, Yixuan Wang, Shengshen He, Caicheng Huang

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An optimized method for short-term load forecasting based on feature fusion and ConvLSTM-3D neural network by Xiaofeng Yang, Shousheng Zhao, Kangyi Li, Wenjin Chen, Si Zhang, Jingwei Chen

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Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on DRSN–GCE Model by Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Jiaming Chen, Xuelian Yu

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Benchmarking Multiple Large Language Models for Automated Clinical Trial Data Extraction in Aging Research by Richard J. Young, Alice M. Matthews, Brach Poston

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Retraction: Bone age assessment based on deep convolutional features and fast extreme learning machine algorithm by Frontiers Editorial Office

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Mechanism- and data-driven algorithms of electrical energy consumption accounting and prediction for medium and heavy plate rolling by Qiang Guo, Zimeng Zhou, Jie Li, Fengwei Jing

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A Deep Learning Algorithm of Neural Network for the Parameterization of Typhoon‐Ocean Feedback in Typhoon Forecast Models by Guo‐Qing Jiang, Jing Xu, Jun Wei

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