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 …
This paper investigates methods for training parameterized functions for guiding state-space search algorithms. Existing work commonly generates data for training such guiding …
G Infantes, S Roussel, P Pereira, A Jacquet… - … Conference on the …, 2024 - Springer
Abstract Job-Shop Scheduling Problem (JSSP) is a combinatorial optimization problem where tasks need to be scheduled on machines in order to minimize criteria such as …
This book constitutes the proceedings of the 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2024 …
The Job Shop Scheduling Problem (JSSP) consists of allocating various tasks to distinct machines, each of which has a different sequence of operations. This thesis investigates the …