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» Adapting Representation in Genetic Programming
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ICIP
2010
IEEE
13 years 4 months ago
Morphological wavelet transform with adaptive dyadic structures
We propose a two component method for denoising multidimensional signals, e.g. images. The first component uses a dynamic programing algorithm of complexity O(N log N) to find an ...
Zhen James Xiang, Peter J. Ramadge
ICARIS
2005
Springer
14 years 1 months ago
Two Ways to Grow Tissue for Artificial Immune Systems
An immune system without tissue is like evolution without genes. Something very important is missing. Here we present the novel concept of tissue for artificial immune systems. Muc...
Peter J. Bentley, Julie Greensmith, Supiya Ujjin
ASC
2010
13 years 7 months ago
Genotype representations in grammatical evolution
Grammatical evolution (GE) is a form of grammar-based genetic programming. A particular feature of GE is that it adopts a distinction between the genotype and phenotype similar to...
Jonatan Hugosson, Erik Hemberg, Anthony Brabazon, ...
EUROGP
2004
Springer
123views Optimization» more  EUROGP 2004»
14 years 29 days ago
Global Distributed Evolution of L-Systems Fractals
Internet based parallel genetic programming (GP) creates fractal patterns like Koch’s snow flake. Pfeiffer, http://www.cs.ucl.ac.uk /staff/W.Langdon/pfeiffer.html, by analogy w...
William B. Langdon
ICCBR
2003
Springer
14 years 23 days ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel