Active Learning for Multi-Objective Optimization.
Marcela ZuluagaGuillaume SergentAndreas KrauseMarkus PüschelPublished in: ICML (1) (2013)
Keyphrases
- multi objective optimization
- active learning
- multi objective
- evolutionary algorithm
- genetic algorithm
- differential evolution
- pareto optimal
- multi objective optimization problems
- semi supervised
- multi objective genetic algorithm
- machine learning
- hybrid evolutionary algorithm
- learning algorithm
- nsga ii
- bi objective
- complex optimization problems
- multiple objectives
- optimization algorithm
- multi objective evolutionary algorithms
- crossover and mutation
- solving multi objective optimization problems
- training set
- multiobjective optimization
- particle swarm optimization
- genetic programming
- pareto frontier
- pareto optimal set
- optimization problems
- search algorithm