[HTML][HTML] A new hyper-heuristic based on adaptive simulated annealing and reinforcement learning for the capacitated electric vehicle routing problem
Electric vehicles (EVs) have been adopted in urban areas to reduce environmental pollution
and global warming due to the increasing number of freight vehicles. However, there are still …
and global warming due to the increasing number of freight vehicles. However, there are still …
A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization
Metaheuristics algorithms are designed to find approximate solutions for challenging
optimization problems. The success of the algorithm over a given optimization task relies on …
optimization problems. The success of the algorithm over a given optimization task relies on …
Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation
E RodríGuez-Esparza, O Ramos-Soto… - IEEE …, 2024 - ieeexplore.ieee.org
Due to rising consumer demand and traffic congestion, last-mile logistics is becoming more
challenging. To optimize urban distribution networks, digital image processing plays a key …
challenging. To optimize urban distribution networks, digital image processing plays a key …