Quantifying the Multi-Objective Cost of Uncertainty.
Byung-Jun YoonXiaoning QianEdward R. DoughertyPublished in: IEEE Access (2021)
Keyphrases
- multi objective
- evolutionary algorithm
- optimization algorithm
- conflicting objectives
- multi objective optimization
- objective function
- genetic algorithm
- multiobjective optimization
- particle swarm optimization
- uncertain data
- nsga ii
- high cost
- total cost
- multiple objectives
- bi objective
- inherent uncertainty
- multi objective evolutionary
- data sets
- multi objective evolutionary algorithms
- multi objective genetic algorithms
- expected cost
- pareto optimal
- belief functions
- cost sensitive
- fuzzy sets
- multi class
- neural network