L-SHADE with an adaptive penalty method of balancing the objective value and the constraint violation.
Takeshi KawachiJun-ichi KushidaAkira HaraTetsuyuki TakahamaPublished in: GECCO (Companion) (2019)
Keyphrases
- preprocessing
- significant improvement
- cost function
- synthetic data
- experimental evaluation
- detection method
- fully automatic
- high precision
- dynamic programming
- main contribution
- high accuracy
- probabilistic model
- k means
- training data
- segmentation method
- image processing
- penalty function
- clustering method
- theoretical analysis
- mutual information
- computational cost
- computational complexity
- objective function
- similarity measure