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ISCAS
1999
IEEE
82views Hardware» more  ISCAS 1999»
14 years 5 days 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 7 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...
GECCO
2007
Springer
165views Optimization» more  GECCO 2007»
14 years 2 months ago
Peptide detectability following ESI mass spectrometry: prediction using genetic programming
The accurate quantification of proteins is important in several areas of cell biology, biotechnology and medicine. Both relative and absolute quantification of proteins is often d...
David C. Wedge, Simon J. Gaskell, Simon J. Hubbard...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 2 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
14 years 21 days ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard