New methods and algorithms of the multifunctional optimization for CAE-system of some technological processes by O. I. Chichko

“…There are offered the models and algorithms for solution of the technological tasks, connected with optimization of the melts stream processes in gating systems and also for optimization of the process of the industrial details thermal treatment. …”
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A New Scaled Three-Term Conjugate Gradient Algorithms For Unconstrained Optimization by Zeyad M. Abdullah, Songul A. Asker

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Evaluating the Efficiency of Nature-Inspired Algorithms for Finite Element Optimization in the ANSYS Environment by Antonino Cirello, Tommaso Ingrassia, Antonio Mancuso, Giuseppe Marannano, Agostino Igor Mirulla, Vito Ricotta

“…This study investigates the feasibility and benefits of embedding three prominent metaheuristic algorithms, the Genetic Algorithm (GA), the Firefly Algorithm (FA), and the Group Search Optimizer (GSO) embedded into the ANSYS Parametric Design Language (APDL). …”
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Quantum optimization algorithms for CT image segmentation from X-ray data by Kyungtaek Jun, Hyunju Lee

“…We expect that the new quantum optimization CT algorithm will bring about great advancements in medical imaging.…”
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Hummingbird-Inspired Modified Particle Swarm Optimization for Efficient Task Scheduling in Cloud Computing by Longyang Du, Qingxuan Wang

“…The present research presents an enhanced Particle Swarm Optimization (PSO) algorithm inspired by specific hummingbird flight characteristics, chosen for their exceptional agility and efficiency. …”
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Improved Virus Optimization algorithm for two-objective tasks Scheduling in Cloud Environment by Kadda Beghdad Bey, Sofiane Bouznad, Farid Benhammadi, Hassina Nacer

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Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration by Ala'a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang

“…To address these issues, a novel Lyapunov-driven optimization algorithm for device selection and bandwidth allocation is introduced. …”
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Recent advances in multi-objective whale optimization algorithm, its versions and applications by Sharif Naser Makhadmeh, Sofian Kassaymeh, Gaith Rjoub, Bilal Bataineh, Yousef Sanjalawe, Mohammed Azmi Al-Betar

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An Empirical Model-Based Algorithm for Removing Motion-Caused Artifacts in Motor Imagery EEG Data for Classification Using an Optimized CNN Model by Rajesh Kannan Megalingam, Kariparambil Sudheesh Sankardas, Sakthiprasad Kuttankulangara Manoharan

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Efficient cluster center optimization: A novel hybrid metaheuristic by Saeideh Barkhordari Firozabadi, Seyed Abolfazl Shahzadeh Fazeli, Jamal Zarepour Ahmadabadi, Seyed Mehdi Karbassi

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Application of Simulated Annealing Algorithm in the Construction of Online Examination System for Tax Law Courses by da Pan

“…Experimental results demonstrate that SA achieves superior performance compared to genetic algorithms (GA), greedy approaches, ant colony optimization (ACO), and particle swarm optimization (PSO). …”
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Real-World Applications of Metaheuristic Algorithms: A Comprehensive Review of the State-of-the-Art by Dler O. Hasan, Aso Aladdin

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Gravitational search algorithm‐extreme learning machine for COVID‐19 active cases forecasting by Boyu Huang, Youyi Song, Zhihan Cui, Haowen Dou, Dazhi Jiang, Teng Zhou, Jing Qin

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Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs by Li Qing-hua, Gui Wei-hua, Chen Zhi-gang

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Application of artificial intelligence technology in the economic development of urban intelligent transportation system by Ziming Zhao, Jinyu Chen

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Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm by Thanh Long Duong, Minh Quan Duong, Van-Duc Phan, Thang Trung Nguyen

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Application of Hybrid MOPSO Algorithm to Optimal Reactive Power Dispatch Problem Considering Voltage Stability by Yujiao Zeng, Yanguang Sun

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Enhanced CO₂ Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally

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An enhanced fruit fly optimization algorithm with random spare and double adaptive weight strategies for oil and gas production optimization by Xu Wang, Jingfu Shan

“…As a promising alternative, evolutionary algorithms—rooted in the principles of natural selection—have demonstrated strong potential for addressing complex optimization problems due to their gradient-free nature and inherent suitability for parallel computation. …”
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Bayesian optimization with Optuna for enhanced soil nutrient prediction: a comparative study with genetic algorithm and particle swarm optimization by Bamidele A. Dada, Nnamdi I. Nwulu, Seun O. Olukanmi

“…In addition, it examines 2,000 random surface soil samples, ranging from 0 to 20 cm, that were optimized using genetic algorithms (GA), particle swarm optimization (PSO), and Optuna. …”
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