A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization.
Jian-Yu LiZhi-Hui ZhanKay Chen TanJun ZhangPublished in: IEEE Trans. Evol. Comput. (2022)
Keyphrases
- differential evolution
- knowledge transfer
- multi task
- optimization algorithm
- transfer learning
- learning tasks
- optimization method
- evolution strategy
- parameter optimization
- evolutionary algorithm
- global optimization problems
- multi task learning
- real coded
- evolutionary strategy
- differential evolution algorithm
- particle swarm optimization
- multitask learning
- optimization problems
- particle swarm optimization pso
- knowledge sharing
- genetic algorithm
- multi objective
- global optimization
- solving global optimization problems
- semi supervised learning
- learning problems
- supervised learning
- machine learning
- data sets
- machine learning algorithms
- multiple tasks
- high dimensional
- reinforcement learning
- training data
- learning algorithm
- learning experience
- gaussian processes
- constrained optimization
- unlabeled data
- labeled data
- collaborative filtering
- semi supervised
- case study
- feature selection
- neural network