The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning.
Suyun LiuLuís Nunes VicentePublished in: CoRR (2019)
Keyphrases
- multi objective optimization
- learning algorithm
- multi objective optimization problems
- optimization algorithm
- evolutionary algorithm
- supervised machine learning
- np hard
- dynamic programming
- benchmark problems
- multi objective
- simulated annealing
- general purpose
- particle swarm optimization
- objective function
- search space
- cost function
- domain specific
- decision trees
- shortest path problem
- manually annotated
- data sets