Enhancing ANN-guided MOPSO through Active Learning.
Timothy RawlinsAndrew LewisJan HettenhausenTimoleon KipourosPublished in: IJCNN (2015)
Keyphrases
- active learning
- multi objective
- particle swarm optimization
- particle swarm optimizer
- artificial neural networks
- multi objective particle swarm optimization
- highly competitive
- nsga ii
- genetic algorithm
- evolutionary algorithm
- multi objective optimization
- multiple objectives
- optimization algorithm
- learning algorithm
- pso algorithm
- machine learning
- benchmark problems
- neural network
- objective function
- particle swarm
- pareto optimal set
- ant colony optimization
- optimization problems
- pareto optimal
- multi objective problems
- bi objective
- multiobjective optimization
- particle swarm optimization algorithm
- particle swarm optimization pso
- differential evolution
- multi criteria
- learning process
- simulated annealing
- search algorithm
- test problems
- mutation rate
- computational efficiency