Investigating Bayesian Optimization for rail network optimization
Machine learning algorithms in ship design optimization
Reinforcement learning-enabled genetic algorithm for school bus scheduling
Toward practical algorithms for activity chain optimization
Stop-skipping in rolling horizons
Optimization based trajectory planner for multilane roundabouts with connected automation
Multi-objective optimization design of wheel based on the performance of 13° and 90° impact tests
Using automatically generated submodels in vehicle body crash optimization
Decentralized arterial traffic signal optimization with connected vehicle information
Multi-lane-merging strategy for connected automated vehicles on freeway ramps
Multi-objective optimisation of a honeycomb-filled composite energy absorber for subway vehicles
Improving paratransit scheduling using ruin and recreate methods
Investigating Emission Reduction Benefit From Intersection Signal Optimization
Parking Spaces Repurchase Strategy Design via Simulation Optimization
Crashworthiness optimization of bio-inspired hierarchical honeycomb under axial loading