Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms.
Peter A. N. BosmanDirk ThierensPublished in: Int. J. Approx. Reason. (2002)
Keyphrases
- multi objective optimization
- density estimation
- evolutionary algorithm
- mixture model
- mixture modeling
- multi objective
- pareto dominance
- exponential family
- multi objective evolutionary algorithms
- pareto optimal solutions
- gaussian mixture model
- differential evolution
- expectation maximization
- evolutionary computation
- nsga ii
- gaussian mixture
- optimization problems
- mixture of gaussians
- premature convergence
- probability density
- probability density function
- pareto optimal
- fitness function
- em algorithm
- multi objective optimization problems
- density function
- genetic algorithm
- outlier detection
- generative model
- probabilistic model
- nonparametric density estimation
- simulated annealing
- genetic programming
- multiple objectives
- bi objective
- parzen window
- mutation operator
- multiobjective optimization
- maximum likelihood
- multi objective problems
- evolutionary strategy
- solving multi objective optimization problems
- model selection
- language model
- unsupervised learning
- crossover operator
- density estimates
- density estimators
- constrained multi objective optimization problems
- detection algorithm
- optimization algorithm
- particle swarm optimization
- feature space
- feature selection