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EH
2004
IEEE
125views Hardware» more  EH 2004»
13 years 9 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
2006
Springer
150views Optimization» more  GECCO 2006»
13 years 9 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
CPHYSICS
2006
204views more  CPHYSICS 2006»
13 years 5 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris
GPEM
2010
180views more  GPEM 2010»
13 years 3 months ago
Developments in Cartesian Genetic Programming: self-modifying CGP
Abstract Self-Modifying Cartesian Genetic Programming (SMCGP) is a general purpose, graph-based, developmental form of Genetic Programming founded on Cartesian Genetic Programming....
Simon Harding, Julian F. Miller, Wolfgang Banzhaf
PRICAI
2004
Springer
13 years 10 months ago
Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation
Abstract. A successful case of applying brute-force search to functional programming automation is presented and compared with a conventional genetic programming method. From the i...
Susumu Katayama