[HTML][HTML] Composite adaptation and learning for robot control: A survey
K Guo, Y Pan - Annual Reviews in Control, 2023 - Elsevier
Composite adaptation and learning techniques were initially proposed for improving
parameter convergence in adaptive control and have generated considerable research …
parameter convergence in adaptive control and have generated considerable research …
Recent advances in Grey Wolf Optimizer, its versions and applications
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems
L Wang, Q Cao, Z Zhang, S Mirjalili, W Zhao - Engineering Applications of …, 2022 - Elsevier
In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …
Neural network-based control using actor-critic reinforcement learning and grey wolf optimizer with experimental servo system validation
This paper introduces a novel reference tracking control approach implemented using a
combination of the Actor-Critic Reinforcement Learning (RL) framework and the Grey Wolf …
combination of the Actor-Critic Reinforcement Learning (RL) framework and the Grey Wolf …
SaCHBA_PDN: Modified honey badger algorithm with multi-strategy for UAV path planning
G Hu, J Zhong, G Wei - Expert Systems with Applications, 2023 - Elsevier
The honey badger algorithm (HBA) is a meta-heuristic optimization algorithm that simulates
the foraging behavior of honey badgers. Since the algorithm is prone to premature …
the foraging behavior of honey badgers. Since the algorithm is prone to premature …
Model-based reinforcement learning control of electrohydraulic position servo systems
Z Yao, X Liang, GP Jiang, J Yao - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
Even though the unprecedented success of AlphaGo Zero demonstrated reinforcement
learning as a feasible complex problem solver, the research on reinforcement learning …
learning as a feasible complex problem solver, the research on reinforcement learning …
Prediction of ammonia contaminants in the aquaculture ponds using soft computing coupled with wavelet analysis
TV Nagaraju, BM Sunil, B Chaudhary, CD Prasad… - Environmental …, 2023 - Elsevier
Intensive aquaculture practices generate highly polluted organic effluents such as biological
oxygen demand (BOD), alkalinity, total ammonia, nitrates, calcium, potassium, sodium, iron …
oxygen demand (BOD), alkalinity, total ammonia, nitrates, calcium, potassium, sodium, iron …
State of health and remaining useful life prediction of lithium-ion batteries with conditional graph convolutional network
Graph convolutional networks (GCNs) have been increasingly used to predict the state of
health (SOH) and remaining useful life (RUL) of batteries. However, conventional GCNs …
health (SOH) and remaining useful life (RUL) of batteries. However, conventional GCNs …
Opposition-based learning equilibrium optimizer with Levy flight and evolutionary population dynamics for high-dimensional global optimization problems
The equilibrium optimizer (EO) is a recently proposed physics-based metaheuristic
algorithm inspired by the dynamic mass balance on a control volume. However, EO may …
algorithm inspired by the dynamic mass balance on a control volume. However, EO may …
[HTML][HTML] Optimal scheduling of electric vehicle charging operations considering real-time traffic condition and travel distance
Y An, Y Gao, N Wu, J Zhu, H Li, J Yang - Expert Systems with Applications, 2023 - Elsevier
As the number of electric vehicles (EVs) increases rapidly, the problem of electric vehicle
charging has widely become a concern. Therefore, considering the fact that charging time …
charging has widely become a concern. Therefore, considering the fact that charging time …