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641
Optimizing capacitor size and placement in radial distribution networks for maximum efficiency
Published 2024-12-01“…Moreover, the cost savings achieved through optimal placement and sizing are substantial.…”
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642
Mathematical modelling and optimization of cutting conditions in turning operation on MDN 350 steel with carbide inserts
Published 2025-03-01“…Improvement of tool life, enhancement of rate of production, reduction in cost of production and closeness of surface finish to that of grinding are the major goals of the work. …”
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643
Multi-Objective Evolution and Swarm-Integrated Optimization of Manufacturing Processes in Simulation-Based Environments
Published 2025-07-01“…Multiple objective functions are formulated to optimize the behavior of the system by reducing the work-in-progress items and improving both cost-effectiveness and service level. …”
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644
Dynamic multi-criteria scheduling algorithm for smart home tasks in fog-cloud IoT systems
Published 2024-12-01Get full text
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645
Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition
Published 2024-12-01“…Therefore, there is a pressing need to develop techniques for detecting early signs of depression to enable timely intervention and potentially improve recovery rates. In this paper, we propose an improved method for the early objective diagnosis of depression utilizing an empirical wavelet transform (EWT) technique enhanced by a particle swarm optimization-support vector machine (PSO-SVM) algorithm. …”
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646
Business Optimization of Financial Centers in Pharmaceutical Enterprises Based on Robotic Process Automation Technology
Published 2025-01-01“…The results indicate that the research designed business optimization method for pharmaceutical enterprise financial centers based on robot process automation technology significantly improves business processing efficiency, effectively controls costs, and enhances operational flexibility. …”
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647
Optimization of delivery routes for takeout under time-varying road networks
Published 2025-06-01“…This model is designed to effectively optimize the delivery plan, achieving a balance between delivery costs and customer satisfaction. …”
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648
Vehicle scheduling optimization for demand responsive transit with flexible stops
Published 2024-11-01Get full text
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649
A Method for Quantifying Mung Bean Field Planting Layouts Using UAV Images and an Improved YOLOv8-obb Model
Published 2025-01-01“…The results indicated that on the 13th day post seeding, a 2640 × 1978 image captured at 7 m above ground level exhibited optimal detection performance. …”
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650
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651
Multi-Objective Dynamic System Model for the Optimal Sizing and Real-World Simulation of Grid-Connected Hybrid Photovoltaic-Hydrogen (PV-H<sub>2</sub>) Energy Systems
Published 2025-01-01“…The model integrates a Particle Swarm Optimisation (PSO) algorithm that enables minimising both the levelised cost of energy (LCOE) and the building carbon footprint with a dynamic model that considers the real-world behaviour of the system components. …”
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652
Multi-objective programming method for ship weather routing based on fusion of A* and NSGA-II
Published 2025-06-01“…ConclusionIn summary, the proposed method can be applied to optimize ship ocean routes under multiple constraint conditions and identify routes that meet the voyage objectives, thereby reducing operational costs, improving shipping efficiency and providing support for ship meteorological navigation and future intelligent ship navigation.…”
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653
Distribution Generation Network Arrangement by Capacitor Placement and Sizing in Renewable Energy Sources with Uncertainties Based on Self-adaption Kho-Kho Optimizer
Published 2024-09-01“…Using a self-adaptive Kho-Kho optimizer, the research aims to minimize operational costs while improving technical parameters, such as voltage stability and loss reduction. …”
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654
Prediction and Optimization for Multi-Product Marketing Resource Allocation in Cross-Border E-Commerce
Published 2025-06-01“…Experiments on real-world data show that our framework significantly outperforms baseline strategies, achieving a 14.48% increase in order volume and revenue improvements ranging from 0.19% to 43.91%. The minimum-cost flow algorithm consistently outperforms the greedy approach, especially in large-scale instances. …”
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655
Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization
Published 2025-01-01“…SIRO integrates deep learning into its initialization and parameter setting to enhance its efficiency, enabling intelligent and adaptive behavior. This hybridization improves solution quality, accelerates convergence, enhances robustness, and reduces computational costs. …”
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656
Research on Lithium-Ion Battery State of Health Prediction Based on XGBoost–ARIMA Joint Optimization
Published 2025-05-01Get full text
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657
Enhanced probabilistic prediction of pavement deterioration using Bayesian neural networks and cuckoo search optimization
Published 2025-03-01“…Therefore, this study proposed an improved probabilistic model for pavement deterioration prediction based on the coupling of Bayesian neural network (BNN) and cuckoo search (CS) algorithm. …”
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658
Stochastic sizing and energy management of a hybrid energy system using cloud model and improved Walrus optimizer for China regions
Published 2025-07-01“…An improved Walrus Optimizer (IWO) with a piecewise linear chaotic map is applied to determine the optimal system component sizes. …”
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659
Optimization of integrated energy system considering P2G oxygen-enriched improvement and hybrid solar energy utilization
Published 2025-07-01“…Secondly, because the boiler efficiency is affected by the oxygen concentration, the optimal oxygen supply state for each period of the oxygen-consuming equipment is determined by a combined algorithm of genetic algorithm and Gurobi solver. …”
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660
A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization
Published 2022-01-01“…In addition, filter optimization has been innovatively introduced in this paper, and the step size of each iteration of the model is selected through the filter optimization algorithm to achieve the better iterative effect. …”
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