Results 31 to 40 of about 184,624 (268)
Deep Q-Network-Enhanced Self-Tuning Control of Particle Swarm Optimization
ModellingParticle Swarm Optimization (PSO) is a widespread evolutionary technique that has successfully solved diverse optimization problems across various application fields.
Oussama Aoun
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IEEE Access, 2020 Production process optimization is an indispensable step in industrial production. The optimization of the metal mines production process (MMPP) can increase production efficiency and thus promote the utilization rate of the metal mineral resources in ...
Xiaowei Gu +5 more
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An Efficient Binary Differential Evolution with Parameter Adaptation [PDF]
International Journal of Computational Intelligence Systems, 2013 Differential Evolution (DE) has been applied to many scientific and engineering problems for its simplicity and efficiency. However, the standard DE cannot be used in a binary search space directly.
Dongli Jia +2 more
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On Adaptive Grad-Div Parameter Selection
Journal of Scientific Computing, 2022 We propose, analyze and test a new adaptive penalty scheme that picks the penalty parameter $ε$ element by element small where $\nabla\cdot u^h$ is large. We start by analyzing and testing the new scheme on the most simple but interesting setting, the Stokes problem. Finally, we extend and test the algorithm on the incompressible Navier Stokes equation
openaire +2 more sources
Reinforcement-learning-based parameter adaptation method for particle swarm optimization
Complex & Intelligent Systems, 2023 Particle swarm optimization (PSO) is a well-known optimization algorithm that shows good performances in solving different optimization problems. However, the PSO usually suffers from slow convergence.
Shiyuan Yin +6 more
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Hyper-Heuristic Approach for Tuning Parameter Adaptation in Differential Evolution
AxiomsDifferential evolution (DE) is one of the most promising black-box numerical optimization methods. However, DE algorithms suffer from the problem of control parameter settings.
Vladimir Stanovov +2 more
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Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview
IEEE Open Journal of Signal Processing, 2021 We present a structured overview of adaptation algorithms for neural network-based speech recognition, considering both hybrid hidden Markov model / neural network systems and end-to-end neural network systems, with a focus on speaker adaptation, domain ...
Peter Bell +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
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Structure-Aware Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Mathematics, 2023 With the growing scale of pre-trained language models (PLMs), full parameter fine-tuning becomes prohibitively expensive and practically infeasible.
Yahao Hu +4 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
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