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» A GP neutral function for the artificial ANT problem
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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
13 years 8 months ago
A GP neutral function for the artificial ANT problem
This paper introduces a function that increases the amount of neutrality (inactive code in Genetic Programming) for the Artificial Ant Problem. The objective of this approach is t...
Esteban Ricalde, Katya Rodríguez-Váz...
FOGA
2011
12 years 8 months ago
Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics
Analyzing the computational complexity of evolutionary algorithms (EAs) for binary search spaces has significantly informed our understanding of EAs in general. With this paper, ...
Greg Durrett, Frank Neumann, Una-May O'Reilly
CEC
2005
IEEE
13 years 10 months ago
Evolving binary decision diagrams using implicit neutrality
Abstract- A new algorithm is presented for evolving Binary Decision Diagrams (BDD) that employs the neutrality implicit in the BDD representation. It is shown that an effortless ne...
Richard M. Downing
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 10 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 5 months ago
Enhanced generalized ant programming (EGAP)
This paper begins by reviewing different methods of automatic programming while emphasizing the technique of Ant Programming (AP). AP uses an ant foraging metaphor in which ants g...
Amirali Salehi-Abari, Tony White