Machine Learning-Assisted Approach for Optimizing Step Size of Hill Climbing Algorithm.
Sándor SzénásiGábor LégrádiBalázs VighPublished in: SACI (2024)
Keyphrases
- step size
- hill climbing algorithm
- machine learning
- convergence rate
- cost function
- convergence speed
- hybrid evolutionary
- evolutionary programming
- temporal difference
- faster convergence
- hill climbing
- steepest descent method
- neural network
- quantization step
- variable step size
- feature selection
- learning algorithm
- wavelet coefficients
- mutation operator
- non stationary
- multiscale
- image segmentation