Sciweavers

1129 search results - page 8 / 226
» Multi-chromosomal genetic programming
Sort
View
EH
2004
IEEE
107views Hardware» more  EH 2004»
13 years 11 months ago
Evolving Digital Circuits using Multi Expression Programming
Multi Expression Programming (MEP) is a Genetic Programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multipl...
Mihai Oltean, Crina Grosan
EUROGP
2005
Springer
114views Optimization» more  EUROGP 2005»
14 years 28 days ago
Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator
Nguyen Xuan Hoai, Robert I. McKay, Daryl Essam, Tu...
EH
2004
IEEE
125views Hardware» more  EH 2004»
13 years 11 months ago
Routine High-Return Human-Competitive Evolvable Hardware
This paper reviews the use of genetic programming as an automated invention machine for the synthesis of both the topology and sizing of analog electrical circuits. The paper focu...
John R. Koza, Martin A. Keane, Matthew J. Streeter
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 1 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
13 years 11 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon