Sciweavers

123 search results - page 5 / 25
» A new crossover technique for Cartesian genetic programming
Sort
View
CEC
2009
IEEE
14 years 2 months ago
Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability
— In this paper, a revised form of Implicit Context Representation Cartesian Genetic Programming is used in the development of a diagnostic tool for the assessment of patients wi...
Stephen L. Smith, Michael A. Lones
EUROGP
2005
Springer
122views Optimization» more  EUROGP 2005»
14 years 29 days ago
Evolution of Robot Controller Using Cartesian Genetic Programming
Abstract. Cartesian Genetic Programming is a graph based representation that has many benefits over traditional tree based methods, including bloat free evolution and faster evolu...
Simon Harding, Julian F. Miller
CEC
2009
IEEE
14 years 2 months ago
Self modifying Cartesian Genetic Programming: Parity
— Self Modifying CGP (SMCGP) is a developmental form of Cartesian Genetic Programming(CGP). It differs from CGP by including primitive functions which modify the program. Beginni...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
13 years 11 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 1 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan