Using Hybrid Filter-Wrapper Feature Selection With Multi-Objective Improved-Salp Optimization for Crack Severity Recognition.
Esraa ElhaririNashwa El-BendaryShereen A. TaiePublished in: IEEE Access (2020)
Keyphrases
- multi objective
- optimization algorithm
- multiple objectives
- evolutionary algorithm
- evolutionary optimization
- multiobjective optimization
- conflicting objectives
- optimum design
- multi objective optimization
- optimization problems
- object recognition
- wrapper feature selection
- particle swarm optimization
- objective function
- recognition rate
- optimization method
- genetic algorithm
- pattern recognition
- engineering design problems
- recognition accuracy
- machine learning
- simulated annealing and tabu search
- multi objective optimization problems
- combinatorial optimization
- image recognition
- classification accuracy
- differential evolution
- global optimization
- multi objective evolutionary algorithms
- estimation of distribution algorithms
- particle swarm
- automatic recognition
- noise removal
- optimization process
- action recognition
- character recognition
- recognition process
- noise reduction
- order statistics
- filtering algorithm
- optimal solution
- multiscale
- computer vision
- nsga ii
- particle swarm optimization algorithm