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» Fitness Clouds and Problem Hardness in Genetic Programming
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PPSN
2000
Springer
13 years 8 months ago
Genetic Programming Bloat without Semantics
To investigate the fundamental causes of bloat, six artificial random binary tree search spaces are presented. Fitness is given by program syntax (the genetic programming genotype)...
William B. Langdon, Wolfgang Banzhaf
CAGD
2010
215views more  CAGD 2010»
13 years 5 months ago
Surface fitting and registration of point clouds using approximations of the unsigned distance function
Many problems in computer aided geometric design and geometry processing are stated as least
Simon Flöry, Michael Hofer
CEC
2009
IEEE
13 years 2 months ago
Analysis of constant creation techniques on the binomial-3 problem with grammatical evolution
This paper studies the difference between Persistent Random Constants (PRC) and Digit Concatenation as methods for generating constants. It has been shown that certain problems hav...
Jonathan Byrne, Michael O'Neill, Erik Hemberg, Ant...
GECCO
2010
Springer
218views Optimization» more  GECCO 2010»
13 years 9 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
13 years 10 months ago
Dormant program nodes and the efficiency of genetic programming
In genetic programming, there is a tendency for individuals in a population to accumulate fragments of code – often called introns – which are redundant in the fitness evaluat...
David Jackson