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  1. 2421

    Optimal placement of renewable distributed generators and electric vehicles using multi-population evolution whale optimization algorithm by Rinchen Zangmo, Suresh Kumar Sudabattula, Sachin Mishra, Nagaraju Dharavat, Naresh Kumar Golla, Naveen Kumar Sharma, Vinay Kumar Jadoun

    Published 2024-11-01
    “…Abstract This research takes on a crucial task- exploring the optimal placement of Renewable Distributed Generators such as Solar Photovoltaic, wind turbines and Electric Vehicles into the Radial Distribution System (RDS). …”
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    Article
  2. 2422
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    Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm by Brandon Cortés-Caicedo, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños

    Published 2025-09-01
    “…The VSA demonstrated superior performance in terms of cost minimization and solution consistency with a reasonable computational effort, which makes it a valuable tool for optimizing unbalanced distribution systems and enhancing their overall efficiency.…”
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    Article
  4. 2424

    Causal Diagnosability Optimization Design for UAVs Based on Maximum Mean Covariance Difference and the Gray Wolf Optimization Algorithm by Xuping Gu, Xianjun Shi

    Published 2025-05-01
    “…To enhance diagnosability and reliability in this context, this study proposes a causal diagnosability optimization strategy based on the Maximum Mean and Covariance Discrepancy (MMCD) metric and the Grey Wolf Optimization (GWO) algorithm. …”
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    Article
  5. 2425

    Optimization the stochastic optimal reactive power dispatch with renewable energy resources using a modified dandelion algorithm. by Naima Agouzoul, Aziz Oukennou, Faissal Elmariami, Mohamed Ebeed, Jamal Boukherouaa, Rabiaa Gadal, Mokhtar Aly, Emad A Mohamed

    Published 2025-01-01
    “…Improvement performance of transmission systems is crucial task that can be boosted via optimal reactive power dispatch (ORPD). …”
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    Article
  6. 2426

    Optimal adaptive heuristic algorithm based energy optimization with flexible loads using demand response in smart grid. by Hisham Alghamdi, Lyu-Guang Hua, Ghulam Hafeez, Sadia Murawwat, Imen Bouazzi, Baheej Alghamdi

    Published 2024-01-01
    “…Demand response-based load scheduling in smart power grids is currently one of the most important topics in energy optimization. There are several benefits to utility companies and their customers from this strategy. …”
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    Article
  7. 2427

    Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization by Prabhat Kumar Sahu, Taiyaba Fatma

    Published 2025-01-01
    “…This study presents a novel and optimized breast cancer classification system using machine learning models enhanced through advanced hyperparameter tuning techniques and statistical validation methods. …”
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  8. 2428

    Robust optimization for smart demand side management in microgrids using robotic process automation and grey wolf optimization by Bin Chen, Zeke Li, Bijing Liu, Haiwei Fan, Qiutian Zhong

    Published 2025-06-01
    “…This paper proposes a Robotic Process Automation (RPA) driven energy management framework with a focus on demand-side control to optimize microgrid performance under uncertainty. The framework combines RPA’s automation capabilities with the Grey Wolf Optimizer (GWO) to dynamically balance supply and demand. …”
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  9. 2429
  10. 2430

    Hybrid Adaptive Sheep Flock Optimization and Gradient Descent Optimization for Energy Management in a Grid-Connected Microgrid by Sri Harish Nandigam, Krishna Mohan Reddy Pothireddy, K. Nageswara Rao, Surender Reddy Salkuti

    Published 2025-05-01
    “…This paper proposes a hybrid optimization approach that combines adaptive sheep flock optimization (ASFO) and gradient descent optimization (GDO) to address the challenges of energy dispatch and load balancing in MG. …”
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    Article
  11. 2431

    Optimized Build Orientation and Laser Scanning Strategies for Reducing Thermal Residual Stress in Topology-Optimized Automotive Components by Jeongho Yang, Youngsuk Jung, Jaewoong Jung, Jae Dong Ock, Shinhu Cho, Sang Hu Park, Tae Hee Lee, Jiyong Park

    Published 2024-11-01
    “…While the caliper of the braking system for reducing the CO<sub>2</sub> consumption in vehicle systems undergoes a redesign to increased strength and reduced weight, challenges arise due to biased melting area ratios in the topologically optimized design, causing the thermal deformation. …”
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  12. 2432

    Research on the optimal layout form and optimization of trees in the main square of an urban campus based on thermal environment simulation by Faming Li, Chunqing Ge, Chunqing Ge, Dongxue Wei, Yiqing Liu

    Published 2025-07-01
    “…This paper intervenes in the point cloud modeling method to provide reference for the subsequent simulation accuracy in this field, and the results of the study have certain reference significance for the design of tree layout when optimizing the thermal comfort environment in this type of main square. …”
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    Optimizing queries in SQL Server 2008 by Ion LUNGU, Nicolae MERCIOIU, Victor VLADUCU

    Published 2010-05-01
    “…We’ll reflect on the objectives tobe considered in improving the performance of SQL Server instances, we will tackle themostly used techniques for analyzing and optimizing queries and we will describe the“Optimize for ad hoc workloads”, “Plan Freezing” and “Optimize for unknown" newoptions, accompanied by relevant code examples.…”
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  18. 2438

    Machine Learning G-Code Optimization by Héctor Lasluisa-Naranjo, David Rivas-Lalaleo, Joaquín Vaquero-López, Christian Cruz-Moposita

    Published 2024-11-01
    “…G-codes are essential in CNC systems, providing crucial instructions for controlling machine parameters and operations in manufacturing, including 3D printing. …”
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    Distributed Constraint Optimization with Flocking Behavior by Zhengquan Yang, Qing Zhang, Zengqiang Chen

    Published 2018-01-01
    “…This paper studies distributed optimization having flocking behavior and local constraint set. …”
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    Article