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» Model selection in genetic programming
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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
FOGA
2011
12 years 11 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
ICRA
1998
IEEE
147views Robotics» more  ICRA 1998»
13 years 11 months ago
Biologically Inspired Robot Grasping Using Genetic Programming
This paper describes the innovative use of a genetic algorithm to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a `best&#...
Jaime J. Fernandez, Ian D. Walker
GPEM
2002
109views more  GPEM 2002»
13 years 7 months ago
Some Considerations on the Reason for Bloat
A representation-less model for genetic programming is presented. The model is intended to examine the mechanisms that lead to bloat in genetic programming (GP). We discuss two hyp...
Wolfgang Banzhaf, William B. Langdon
ISCI
2006
96views more  ISCI 2006»
13 years 7 months ago
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
We investigate the effectiveness of GP-generated intelligent structures in classification tasks. Specifically, we present and use four context-free grammars to describe (1) decisi...
Athanasios Tsakonas