Modelling Genetic Programming as a Simple Sampling Algorithm

2020 ◽  
pp. 367-381
Author(s):  
David R. White ◽  
Benjamin Fowler ◽  
Wolfgang Banzhaf ◽  
Earl T. Barr
Keyword(s):  
Genetic Programming ◽  
Sampling Algorithm ◽  
Simple Sampling

CELL-TO-SITE RENORMALIZATION GROUP STUDY OF A SANDPILE

2008 ◽  
Vol 19 (11) ◽  
pp. 1695-1703 ◽  
Author(s):  
AN-CHUNG CHENG ◽  
CHIEN-FU CHEN ◽  
CHAI-YU LIN
Keyword(s):  
Exact Solution ◽  
Fixed Point ◽  
Renormalization Group ◽  
Sampling Algorithm ◽  
Point Analysis ◽  
Fundamental Difficulty ◽  
Simple Sampling

This study investigates the Bak–Tang–Wiesenfeld sandpile using a renormalization group (RG) approach based on the similarity of L × L RG cells of different scales. The fundamental difficulty of this approach arises from the lack of full enumeration of all relaxations inside a RG cell as L ≥ 3. This study develops a simple sampling algorithm to sample the relaxations and applies this algorithm to the RG calculations for L = 3, 4, and 8. As the fixed point analysis shows, increasing L does not lead the resultant height probabilities toward the exact solution.

Classification of EEG Signals using Genetic Programming

2017 ◽  
Author(s):  
Marco Antonio Meggiolaro ◽  
Felipe Rebelo Lopes
Keyword(s):  
Genetic Programming ◽  
Eeg Signals
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