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Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm
Published 2025-01-01“…Moreover, comparative analyses of various optimization methods on the custom-built dataset reveal that the ant colony optimization algorithm markedly outperforms the simulated annealing algorithm (SA) and particle swarm optimization algorithm (PSO). …”
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Multi-fault Repair and Optimization Strategy of Distribution Network Based on Fault Adjacency State
Published 2023-03-01Get full text
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Multi-objective optimization framework for electric vehicle charging and discharging scheduling in distribution networks using the red deer algorithm
Published 2025-04-01“…To tackle the optimization problem, a metaheuristic swarm intelligence algorithm, the Red Deer Algorithm (RDA), is utilized to determine the optimal EV charging and discharging timings. …”
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Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions
Published 2025-03-01“…The performance of this method is also compared and analyzed with the traditional MPPT methods based on the perturbation observation (P&O) method and Particle Swarm Optimization (PSO) algorithm. The experimental results have proven that, compared with the MPPT methods based on P&O and PSO, the proposed multi-peak MPPT method based on the HBA algorithm has a faster tracking speed, higher tracking accuracy, and fewer iterations.…”
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Research on the optimization model of anti-breast cancer candidate drugs based on machine learning
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Effective Modeling of Photovoltaic Modules Using Sailfish Optimizer
Published 2023-02-01Get full text
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Hyperspectral identification of travertine state in Huanglong by the PSO-BPNN method
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Hybrid optimized data aggregation for fog computing devices in internet of things
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Multi-objective optimization and parameter sensitivity study on microreactor nuclear power systems
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A temporal and spatial electric vehicle charging optimization scheme with DSO-EVA coordination framework
Published 2024-02-01Get full text
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Experimentally Constrained Mechanistic and Data-Driven Models for Simulating NMDA Receptor Dynamics
Published 2025-07-01“…Determination of the kinetic model’s parameter values was performed using the particle swarm optimization algorithm. The optimized kinetic model was then used to generate a rich input–output dataset to train the look-up table synapse model and estimate its coefficients. …”
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