A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation.
Xi ZhangYaochu JinFeng QianPublished in: Neurocomputing (2023)
Keyphrases
- optimization algorithm
- multi objective
- transfer learning
- evolutionary algorithm
- differential evolution
- multi objective optimization
- genetic algorithm
- multi objective optimization problems
- learning tasks
- control parameters
- knowledge transfer
- optimization method
- multiobjective optimization
- objective function
- particle swarm optimization
- evolutionary multi objective
- particle swarm optimization pso
- reinforcement learning
- multiple objectives
- labeled data
- nsga ii
- machine learning
- transfer knowledge
- active learning
- machine learning algorithms
- text categorization
- mutation operator
- cross domain
- collaborative filtering
- multi task
- data sets
- artificial bee colony
- optimization problems
- semi supervised learning
- evolutionary computation
- hybrid algorithm
- domain adaptation
- fitness function
- hybrid optimization algorithm
- information retrieval
- artificial intelligence
- learning environment
- particle swarm
- pairwise
- target domain
- genetic programming
- text classification
- semi supervised
- computational intelligence
- text mining