A quality metric for multi-objective optimization based on Hierarchical Clustering Techniques.
Frederico G. GuimarãesElizabeth F. WannerRicardo H. C. TakahashiPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- multi objective optimization
- hierarchical clustering
- quality metrics
- multi objective
- evolutionary algorithm
- image quality
- quality assessment
- quality estimation
- genetic algorithm
- clustering method
- human visual system
- clustering algorithm
- perceptual quality
- pareto optimal
- image quality assessment
- partitional clustering
- human perception
- nsga ii
- image quality metrics
- multi objective optimization problems
- visual quality
- hierarchical clustering algorithm
- multi objective genetic algorithms
- single linkage
- multiple objectives
- data quality
- differential evolution
- bi objective
- optimization algorithm
- neural network
- image data
- multi objective genetic algorithm
- objective function
- k means
- data sets