Area of research
Industrial and Manufacturing Engineering · Artificial Intelligence
Research interest
Research interests include Computer science, Reinforcement learning, Selection (genetic algorithm), Pickup, Artificial intelligence, and Vehicle routing problem.
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution
Efficient Neural Collaborative Search for Pickup and Delivery Problems
A review on learning to solve combinatorial optimisation problems in manufacturing
MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem