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EUROGP
2001
Springer
103views Optimization» more  EUROGP 2001»
14 years 3 months ago
Computational Complexity, Genetic Programming, and Implications
Recent theory work has shown that a Genetic Program (GP) used to produce programs may have output that is bounded above by the GP itself [l]. This paper presents proofs that show t...
Bart Rylander, Terence Soule, James A. Foster
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
14 years 4 months ago
Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators
In a series of papers [3-8], Daida et. al. highlighted the difficulties posed to Genetic Programming (GP) by the complexity of the structural search space, and attributed the probl...
Nguyen Xuan Hoai, Robert I. McKay
EH
2002
IEEE
185views Hardware» more  EH 2002»
14 years 4 months ago
Automatic Synthesis Using Genetic Programming of an Improved General-Purpose Controller for Industrially Representative Plants
Most real-world controllers are composed of proportional, integrative, and derivative signal processing blocks. The so-called PID controller was invented and patented by Callender...
Martin A. Keane, John R. Koza, Matthew J. Streeter
ISCAS
1999
IEEE
82views Hardware» more  ISCAS 1999»
14 years 3 months ago
Synthesis of low coefficient sensitivity digital filters using genetic programming
This paper proposes a new approach to the synthesis of low coefficient sensitivity digital filters using Genetic Programming (GP). GP is applied to the synthesis problem by establi...
K. Uesaka, M. Kawamata
IJISTA
2007
119views more  IJISTA 2007»
13 years 11 months ago
Online modelling based on Genetic Programming
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re...