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» Multi-chromosomal genetic programming
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82
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EH
2004
IEEE
107views Hardware» more  EH 2004»
15 years 3 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
72
Voted
EUROGP
2005
Springer
114views Optimization» more  EUROGP 2005»
15 years 5 months 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»
15 years 3 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»
15 years 5 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
87
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GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 3 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