Reinforcement Learning for Solving Stochastic Vehicle Routing Problem
This study addresses a gap in the utilization of Reinforcement Learning (RL) and Machine
Learning (ML) techniques in solving the Stochastic Vehicle Routing Problem (SVRP) that …
Learning (ML) techniques in solving the Stochastic Vehicle Routing Problem (SVRP) that …
Self-Guiding Exploration for Combinatorial Problems
Z Iklassov, Y Du, F Akimov, M Takac - arXiv preprint arXiv:2405.17950, 2024 - arxiv.org
Large Language Models (LLMs) have become pivotal in addressing reasoning tasks across
diverse domains, including arithmetic, commonsense, and symbolic reasoning. They utilize …
diverse domains, including arithmetic, commonsense, and symbolic reasoning. They utilize …
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows
This paper introduces a reinforcement learning approach to optimize the Stochastic Vehicle
Routing Problem with Time Windows (SVRP), focusing on reducing travel costs in goods …
Routing Problem with Time Windows (SVRP), focusing on reducing travel costs in goods …
Efficient Scheduling of Constant Pressure Stratified Water Injection Flow Rate: A Deep Reinforcement Learning Method
J Hu, F Ren, Z Wang, D Jia - IEEE Access, 2024 - ieeexplore.ieee.org
Layered water injection is an important means of oilfield development. During the water
injection process, the water injection flow rate of each layer is affected by various factors …
injection process, the water injection flow rate of each layer is affected by various factors …
Variable Neighborhood Search Based on Reinforcement Learning for Green Vehicle Routing Problem
M Alrashidi, M Al Ghamdi - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The green vehicle routing problem (GVRP) is a trendy variant of the well-known vehicle
routing problem that incorporates environmental considerations such as minimized fuel …
routing problem that incorporates environmental considerations such as minimized fuel …