Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm.
Linchao LiLingqiao QinXu QuJian ZhangYonggang WangBin RanPublished in: Knowl. Based Syst. (2019)
Keyphrases
- traffic flow
- particle swarm algorithm
- multi objective
- particle swarm
- short term
- deep belief networks
- particle swarm optimization
- evolutionary algorithm
- optimization algorithm
- particle swarm optimisation
- long term
- multi objective optimization
- optimisation problems
- wind power
- cellular automata
- genetic algorithm
- objective function
- optimization scheme
- electricity markets
- optimization method
- hybrid algorithm
- unsupervised learning
- restricted boltzmann machine
- forecasting model
- differential evolution
- pso algorithm
- traffic light
- deep learning
- neural network
- job shop scheduling problem
- generative model
- genetic programming
- nsga ii
- search capabilities
- particle swarm optimization algorithm
- wind speed
- optimization problems
- supervised learning
- swarm intelligence
- probabilistic model
- tabu search
- fitness function