A two-step multi-objectivization method for improved evolutionary optimization of industrial problems.
Anna SyberfeldtJoel RogströmPublished in: Appl. Soft Comput. (2018)
Keyphrases
- detection method
- evolutionary optimization
- high precision
- error rate
- clustering method
- cost function
- high accuracy
- objective function
- alternative methods
- support vector machine
- segmentation method
- unsupervised learning
- feature selection
- computational cost
- dynamic programming
- significant improvement
- pairwise
- computational complexity
- video sequences
- similarity measure
- edge detection
- post processing
- multi objective
- pattern recognition
- improved algorithm