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A Reinforcement Learning Hyper-heuristic for Water Distribution Network Optimisation
2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)
The Water Distribution Networks (WDNs) optimisation problem focuses on finding the combination of pipes from a collection of discrete sizes available to construct a network of pipes with minimum monetary cost. It is one of the most significant problems faced by WDN engineers. This problem belongs to the class of difficult combinatorial optimisation problems, whose optimal solution is hard to find, due to its large search space. Hyper-heuristics are high-level search algorithms that explore thedoi:10.1109/iccceee49695.2021.9429683 fatcat:udm43zlhlvhvhhfepaj5viirsy