A method of steepest ascent for multiresponse surface optimization using a desirability function method.
Dong-Hee LeeSo-Hee KimJai-Hyun ByunPublished in: Qual. Reliab. Eng. Int. (2020)
Keyphrases
- significant improvement
- high accuracy
- detection method
- synthetic data
- reconstruction method
- hill climbing
- optimization process
- experimental evaluation
- computational cost
- optimization algorithm
- steepest ascent
- neural network
- optimization method
- segmentation method
- tabu search
- image registration
- dynamic programming
- cost function
- pairwise
- similarity measure