Deep Reinforcement Learning for Multi-Sequence Combinatorial Optimization Problems
We propose a formulation for solving sequential combinatorial optimization problems (COP) by deep reinforcement learning (DRL) method. Some types of decision problems can be reduced to sequence combination optimization problems(SCOP) , such as knapsack problems, flow-shop problems, etc. Besides some
Authors
- Xue Zhang (ORCID: https://orcid.org/0000-0001-9639-1453)
- Dai Zhang (ORCID: https://orcid.org/0000-0003-1088-4201)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4108/eai.21-11-2024.2354636
- Primary Topic
- Metaheuristic Optimization Algorithms Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00