A multi-objective particle swarm algorithm based on the active learning approach.
Zhiming LvJun ZhaoWei WangPublished in: IECON (2017)
Keyphrases
- particle swarm algorithm
- multi objective
- active learning
- particle swarm
- evolutionary algorithm
- particle swarm optimization
- optimization algorithm
- multi objective optimization
- particle swarm optimisation
- genetic algorithm
- job shop scheduling problem
- hybrid algorithm
- optimisation problems
- objective function
- premature convergence
- nsga ii
- optimization scheme
- machine learning
- optimization method
- fitness function
- global optimization
- swarm intelligence
- differential evolution
- learning algorithm
- training set
- particle swarm optimization pso
- pso algorithm
- optimization methods
- particle swarm optimization algorithm
- simulated annealing
- multi objective evolutionary algorithms
- neural network
- information retrieval
- evolutionary computing
- test functions
- search capabilities
- optimization problems
- genetic programming
- evolutionary computation