scholarly journals Genetic Programming, Validation Sets, and Parsimony Pressure

2006 ◽  
pp. 109-120 ◽  
Author(s):  
Christian Gagné ◽  
Marc Schoenauer ◽  
Marc Parizeau ◽  
Marco Tomassini
Keyword(s):  
Genetic Programming ◽  
Parsimony Pressure

Effects of Code Growth and Parsimony Pressure on Populations in Genetic Programming

1998 ◽  
Vol 6 (4) ◽  
pp. 293-309 ◽  
Author(s):  
Terence Soule ◽  
James A. Foster
Keyword(s):  
Genetic Programming ◽  
Genetic Program ◽  
And Performance ◽  
Code Growth ◽  
The Relationship ◽  
Parsimony Pressure

Parsimony pressure, the explicit penalization of larger programs, has been increasingly used as a means of controlling code growth in genetic programming. However, in many cases parsimony pressure degrades the performance of the genetic program. In this paper we show that poor average results with parsimony pressure are a result of “failed” populations that overshadow the results of populations that incorporate parsimony pressure successfully. Additionally, we show that the effect of parsimony pressure can be measured by calculating the relationship between program size and performance within the population. This measure can be used as a partial indicator of success or failure for individual populations.

scholarly journals Destructiveness of lexicographic parsimony pressure and alleviation by a concatenation crossover in genetic programming

2020 ◽  
Vol 816 ◽  
pp. 96-113
Author(s):  
Timo Kötzing ◽  
J.A. Gregor Lagodzinski ◽  
Johannes Lengler ◽  
Anna Melnichenko
Keyword(s):  
Genetic Programming ◽  
Parsimony Pressure

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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