Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization.
Deepak NagarPalaniappan RamuKalyanmoy DebPublished in: EMO (2021)
Keyphrases
- self organizing maps
- multiple objectives
- multi objective
- multi objective optimization
- pareto optimal
- engineering design problems
- optimization algorithm
- multiobjective optimization
- evolutionary algorithm
- neural network
- unsupervised learning
- competitive learning
- bi objective
- neural gas
- genetic algorithm
- particle swarm optimization
- k means
- decision variables
- visualization methods
- nsga ii
- input data
- objective function
- bayesian networks
- knapsack problem
- feature extraction
- multi objective problems
- network anomaly detection
- data sets
- som neural network
- multi objective evolutionary algorithms
- pattern recognition
- fitness function
- genetic programming
- text classification