Solving many-task optimization problems via online intertask learning.
Jiajun ZhouShijie RaoLiang GaoChunjiang ZhangHongtao TangYun LiFelix T. S. ChanPublished in: Expert Syst. Appl. (2023)
Keyphrases
- online learning
- optimization problems
- active learning
- learning process
- learning algorithm
- inductive inference
- incremental learning
- learning tasks
- cost function
- evolutionary algorithm
- solving problems
- supervised learning
- objective function
- knowledge acquisition
- unsupervised learning
- learning systems
- combinatorial optimization
- bayesian networks
- case study
- neural network
- passive aggressive