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EV Charging Strategies through Power Setpoint Tracking: A Reinforcement Learning Approach
Hangar Parking Optimization with Path Planning Integration: A novel Approach to Minimize Movements via A* Adaptations and Neighborhood Search
MIHEA in Action: A Reproduction Study and Evaluation on Learning Bayesian Networks from Data
The Impact of Charging Electric Vehicles Between Routing Instances: The Modeling of a Combined Electric Vehicle Routing and Charging Model
Raising the acceptance for a preference-based design methodology in the context of urban development
Mobile EV Charging: Design, Optimization and Evaluation of Battery-Integrated Robots to Improve Electric Mobility
Feasibility study on the integration of a deep learning dose computation algorithm in an automated proton therapy treatment planning system
Topology and variable optimization of a planar quasi-zero stiffness mechanism for motion isolation during the installation of wind turbine blades
Design and Operation Optimization of Hybrid Energy Systems for a General Cargo Vessel: Well-to-Wake Emission Analysis and Plant Lifetime Estimation
Airtightness in the Retrofit of Historic Buildings: Investigation of a retrofit strategy for historic traditional buildings, optimizing their energy-efficiency, indoor environment quality, and heritage preservation
Physics-Informed Neural Networks for Designing Spacecraft Trajectories
Subgraph Matching via Fused Gromov-Wasserstein Distance
Trajectory optimization with gradient descent for a variable-volume float
Embodied carbon optimization for gridshells: A method to assess and optimize the global warming potential of gridshell structures
Early Stage Optimization Towards a Climate-responsive Design
Constraint Handling in RV-GOMEA
Optimization of a representative wing component using a Genetic Algorithm
The Effect of Totalizer Bound Tightening on MaxSAT Solving
Uncertainty quantification for tensor network constrained kernel machines: A frequentist and Bayesian approach
Modeling and Optimization of Earth-Moon Transfers
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