Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation.
Jhih-Wei ChenMing-Chun LuTian-Li YuPublished in: GECCO Companion (2020)
Keyphrases
- resource allocation
- gaussian mixture
- continuous optimization
- mixtures of gaussians
- density estimation
- clustering algorithm
- expectation maximization
- unsupervised learning
- resource allocation problems
- em algorithm
- probability density function
- gaussian mixture model
- k means
- closed form
- metaheuristic
- covariance matrix
- outlier detection
- simulated annealing
- data points
- optimal resource allocation
- computer vision
- optimization methods
- allocation problems
- scarce resources
- linear models
- feature selection
- learning algorithm
- resource allocation decisions