Search alternatives:
algorithm its » algorithm i (Expand Search), algorithm etc (Expand Search), algorithm iqa (Expand Search)
its function » i function (Expand Search), loss function (Expand Search), cost function (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
algorithm its » algorithm i (Expand Search), algorithm etc (Expand Search), algorithm iqa (Expand Search)
its function » i function (Expand Search), loss function (Expand Search), cost function (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
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Function graph and algorithm iterative graph.
Published 2024“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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The pseudocode for the NAFPSO algorithm.
Published 2025“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”
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PSO algorithm flowchart.
Published 2025“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”
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Flowchart of the specific incarnation of the BO algorithm used in the experiments.
Published 2020“…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …”
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Efficient algorithms to discover alterations with complementary functional association in cancer
Published 2019“…We provide analytic evidence of the effectiveness of UNCOVER in finding high-quality solutions and show experimentally that UNCOVER finds sets of alterations significantly associated with functional targets in a variety of scenarios. In particular, we show that our algorithms find sets which are better than the ones obtained by the state-of-the-art method, even when sets are evaluated using the statistical score employed by the latter. …”
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Completion times for different algorithms.
Published 2025“…In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”
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The average cumulative reward of algorithms.
Published 2025“…In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”
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Scheduling time of five algorithms.
Published 2025“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”
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Convergence speed of five algorithms.
Published 2025“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. …”
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Simulation settings of rMAPPO algorithm.
Published 2025“…In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”
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