DeepGridMCLP: A Deep Reinforcement Learning Approach to Solve the Maximal Covering Location Problem with Facilities in Continuous Regions
Yang Zhong
The Maximal Covering Location Problem (MCLP) is a classic Combinatorial Optimization Problem (COP) in spatial optimization and operations research, predominatnly used for strategic public facility placement. The model’s objective is to determine the optimal locations for a fixed number of facilities in order to serve t...
- Claremont Colleges Library
- DOI: 10.5642/cguetd.tvuh9358