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Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm
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An Improved Whale Optimization Algorithm for the Clean Production Transformation of Automotive Body Painting
Published 2025-04-01“…To reduce pollutants generated by automotive painting processes and improve coating efficiency, this study proposes a clean production method for automotive body painting based on an improved whale optimization algorithm from the perspective of “low-carbon consumption and emission-reduced production”. …”
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Development of an Algorithm to Determine the Most Efficient Trajectories in Directional Wells
Published 2025-07-01“…We present the development of an algorithm designed to determine the most efficient trajectories for directional wells, a key method used in oil and gas extraction. …”
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Optimal Allocation and Sizing of Electrical Substations Using an Improved Black Widow Algorithm
Published 2025-04-01“…Four scenarios with varying load center distributions were tested to assess the algorithm’s adaptability and performance. The results showed that the GA mutation consistently outperformed the original mutation in more complex scenarios, reducing total costs by up to 14.75%. …”
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Noise Reduction of Steam Trap Based on SSA-VMD Improved Wavelet Threshold Function
Published 2025-03-01Subjects: Get full text
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Environmental Impact Minimization Model for Storage Yard of In-Situ Produced PC Components: Comparison of Dung Beetle Algorithm and Improved Dung Beetle Algorithm
Published 2024-11-01“…As a result of applying the developed model, the optimization of the improved dung beetle optimization algorithm was verified to be efficient by improving the neighboring correlation by 22.79% and reducing carbon dioxide emissions by 18.33% compared to the dung beetle optimization algorithm. …”
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An improved Multi-Objective Whale Optimization Algorithm for hydrodynamic and acoustic performance optimization of Myring-shaped underwater vehicle
Published 2025-12-01“…These improvements enhance the algorithm’s capability in solving Multi-Objective Optimization (MOP) problems. …”
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Puma algorithm for environmental emissions and generation costs minimization dispatch in power systems
Published 2025-03-01“…The POO algorithm consistently outperforms other algorithms in minimizing both generation and emission costs across all loading levels, with improvement percentages ranging from approximately 1.221 % to 1.6 % compared to OOA, 0.59 % to 0.86 % compared to AO, 2.47 % to 3.42 % compared to SMA, 0.89 % to 1.67 % compared to Coati and 0.03 % to 0.13 % compared to ARO. …”
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Designing a new optimal controller for a PEMFC by an improved design of the Coot Optimizer
Published 2025-05-01“…Comparative analyses against three other control techniques confirm a wide system enhancement, evidenced by a substantial reduction in both current and overshoot ripples. Algorithm verification using benchmark functions shows the ICOA achieves lower mean values and standard deviations, with p-values indicating statistically significant improvements (p < 0.05) in Root Mean Square Error (RMSE) compared to COA, MVO, EPO, and LOA algorithms, validating its enhanced optimization capabilities for PEMFC control.…”
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Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization
Published 2023-08-01“…A capacity optimization configuration model for hydrogen energy storage systems was constructed by comprehensively considering the economic cost, power supply reliability, and wind abandonment rate of microgrids; Establish a capacity optimization model for hydrogen storage systems using wind power output and load from typical day and scenario sets, to reflect the impact of the randomness of wind power output and load on the optimization results; Using an improved cat swarm algorithm with dynamic weights, the capacity optimization configuration model of the proposed hydrogen energy storage system is solved. …”
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Enhanced Nutcracker Optimization Algorithm with Hyperbolic Sine–Cosine Improvement for UAV Path Planning
Published 2024-12-01“…Secondly, a nonlinear function is designed to improve the algorithm’s convergence speed. Finally, a sinh cosh optimizer that incorporates historical positions and dynamic factors is introduced to enhance the influence of the optimal position on the search process, thereby improving the accuracy of the nutcracker in retrieving stored food. …”
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Improved Hybrid A* Algorithm Based on Lemming Optimization for Path Planning of Autonomous Vehicles
Published 2025-07-01“…To address the challenges of safety, smoothness, and search efficiency in path planning for autonomous vehicles, this study proposes an improved hybrid A* algorithm based on the lemming optimization algorithm (LOA). …”
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Improving Airport Flight Prediction System Based on Optimized Regression Vector Machine Algorithm
Published 2024-09-01“…In this research, the optimized support vector regression (SVR) algorithm has been used to improve the accuracy of air delay prediction. …”
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Research on Multi-Objective Optimization of Helical Gear Shaping Based on an Improved Genetic Algorithm
Published 2025-04-01“…Traditional gear shaping schemes were first determined using classic theories and formulas. Then, an improved genetic algorithm was applied to seek optimal helical gear shaping parameters. …”
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Next-Generation energy Management: Particle Density algorithm for residential microgrid optimization
Published 2025-03-01“…Through scenario analysis, this research demonstrates the IPSO algorithm’s potential for significant cost reductions and improved grid stability. …”
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Enhanced Dung Beetle Optimizer-Optimized KELM for Pile Bearing Capacity Prediction
Published 2025-07-01“…In response to the need for rapid and precise predictions of pile bearing capacity, this study introduces a kernel extreme learning machine (KELM) prediction model optimized through a multi-strategy improved beetle optimization algorithm (IDBO), referred to as the IDBO-KELM model. …”
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Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks
Published 2025-01-01“…This paper proposes a KNN-based cost-efficient machine-learning algorithm aimed at optimizing underwater context acquisition with sensor nodes. …”
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Optimization of fuzzy bottleneck cost transportation models in the decision framework of congruence modulo technique
Published 2025-08-01“…This article investigates the Congruence Modulo algorithm and time freezing method as innovative solutions for addressing fuzzy bottleneck cost transportation problems. …”
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Research on Robot Path Planning Based on Improved RRT-Connect Algorithm
Published 2025-02-01“…Firstly, an improved RRT algorithm is employed to search and add a middle root node, facilitating the simultaneous expansion of four random trees to expedite algorithm convergence. …”
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