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Exact Relaxation of Nonconvex Optimal Control Problems Based on Problem Reconstruction
Enhancing Resolution and Fault Tolerance of Barrier Coverage with Unmanned Aerial Vehicles
Optimization of human-aware logistics and manufacturing systems: A survey on the Human-Aware Models
Modeling and solving a corporate vehicle-sharing problem combined with other modes of transport
Modeling optimal drone fleet size considering stochastic demand
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Neural Networks and Support Vector Regression for the CRJ-700 Longitudinal Dynamics Modeling
Low-Thrust Trajectory Optimization with Averaged Dynamics Using Analytical Switching Detection
Deep Stochastic Optimal Control Policies for Planetary Soft Landing
Adaptive Weight Model Predictive Path Integral Control for Multiconstrained Missile Guidance
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics
Optimization Algorithms for the Flight Planning Problem
Deep reinforcement learning for stochastic last-mile delivery with crowdshipping
Indirect Optimization of Robust Orbit Transfer Considering Thruster Underperformance