Parsimony pressure made easy

Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08 ◽

10.1145/1389095.1389340 ◽

2008 ◽

Cited By ~ 28

Author(s):

Riccardo Poli ◽

Nicholas Freitag McPhee

Keyword(s):

Parsimony Pressure

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Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming

Parallel Problem Solving from Nature – PPSN XV - Lecture Notes in Computer Science ◽

10.1007/978-3-319-99259-4_4 ◽

2018 ◽

pp. 42-54 ◽

Cited By ~ 1

Author(s):

Timo Kötzing ◽

J. A. Gregor Lagodzinski ◽

Johannes Lengler ◽

Anna Melnichenko

Keyword(s):

Genetic Programming ◽

Parsimony Pressure

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Fighting Bloat with Nonparametric Parsimony Pressure

Parallel Problem Solving from Nature — PPSN VII - Lecture Notes in Computer Science ◽

10.1007/3-540-45712-7_40 ◽

2002 ◽

pp. 411-421 ◽

Cited By ~ 35

Author(s):

Sean Luke ◽

Liviu Panait

Keyword(s):

Parsimony Pressure

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

Evolutionary Computation ◽

10.1162/evco.1998.6.4.293 ◽

1998 ◽

Vol 6 (4) ◽

pp. 293-309 ◽

Cited By ~ 91

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.

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