Dynamic multi-objective optimisation using deep reinforcement learning: benchmark, algorithm and an application to identify vulnerable zones based on water quality.
Md Mahmudul HasanKhin T. LwinMaryam ImaniAntesar M. ShabutLuiz Fernando BittencourtM. Alamgir HossainPublished in: Eng. Appl. Artif. Intell. (2019)
Keyphrases
- reinforcement learning
- dynamic programming
- optimization algorithm
- computational complexity
- objective function
- search space
- mathematical model
- worst case
- learning algorithm
- optimal solution
- scheduling problem
- computational efficiency
- np hard
- k means
- upper bound
- linear programming
- particle swarm optimization
- cost function
- evolutionary algorithm
- greedy algorithm
- model free
- water quality