A novel adaptive greedy strategy based on Gaussian mixture clustering for multiobjective optimization.
Tingrui LiuXin LiLiguo TanShenmin SongPublished in: Swarm Evol. Comput. (2021)
Keyphrases
- multiobjective optimization
- gaussian mixture
- greedy strategy
- mixtures of gaussians
- multi objective
- greedy algorithm
- min max
- density estimation
- gaussian mixture model
- swarm intelligence
- em algorithm
- expectation maximization
- clustering algorithm
- probability density function
- closed form
- covariance matrix
- k means
- unsupervised learning
- artificial immune system
- outlier detection
- multi objective optimization
- nsga ii
- machine learning
- mixture model
- evolutionary algorithm
- optimization algorithm
- upper bound
- scheduling problem
- pareto optimal
- artificial neural networks
- objective function