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» The Spatially-Dispersed Genetic Algorithm
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146
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GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
15 years 4 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
130
Voted
IJON
2000
105views more  IJON 2000»
15 years 3 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
151
Voted
GECCO
2003
Springer
129views Optimization» more  GECCO 2003»
15 years 8 months ago
Finding Building Blocks through Eigenstructure Adaptation
A fundamental aspect of many evolutionary approaches to synthesis of complex systems is the need to compose atomic elements into useful higher-level building blocks. However, the ...
Danica Wyatt, Hod Lipson
123
Voted
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 9 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
124
Voted
IJIT
2004
15 years 5 months ago
Synthesis of Logic Circuits Using Fractional-Order Dynamic Fitness Functions
This paper analyses the performance of a genetic algorithm using a new concept, namely a fractional-order dynamic fitness function, for the synthesis of combinational logic circuit...
Cecília Reis, José António Te...