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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
value function » rate function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
value function » rate function (Expand Search)
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The value functions of comparative policies.
Published 2025“…These expressions are determined using the copula function, and an algorithm is designed to construct the corresponding transition probability matrix. …”
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Completion times for different algorithms.
Published 2025“…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”
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The average cumulative reward of algorithms.
Published 2025“…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”
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Comparison of site selection results of three algorithms.
Published 2024Subjects: “…coverage attenuation function…”
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Means plots of genetic algorithm calibration parameters.
Published 2024Subjects: “…coverage attenuation function…”
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Statistic results between the proposed algorithm and other metaheuristic algorithms.
Published 2025Subjects: -
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The structure of genetic algorithm (GA).
Published 2024“…First, physico-chemical inputs as bulk density (BD), initial water content (W<sub>i</sub>), saturated water content (W<sub>s</sub>), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”
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Simulation settings of rMAPPO algorithm.
Published 2025“…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”
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