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» Genetic programming and evolutionary generalization
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GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 1 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
EUROGP
2000
Springer
115views Optimization» more  EUROGP 2000»
15 years 1 months ago
Evolution of a Controller with a Free Variable Using Genetic Programming
A mathematical formula containing one or more free variables is "general" in the sense that it provides a solution to an entire category of problems. For example, the fa...
John R. Koza, Jessen Yu, Martin A. Keane, William ...
SAC
2008
ACM
14 years 9 months ago
Dynamic populations in genetic algorithms
Biological populations are dynamic in both space and time, that is, the population size of a species fluctuates across their habitats over time. There are rarely any static or fix...
Zhanshan (Sam) Ma, Axel W. Krings
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 1 months ago
Genetic programming for human oral bioavailability of drugs
Automatically assessing the value of bioavailability from the chemical structure of a molecule is a very important issue in biomedicine and pharmacology. In this paper, we present...
Francesco Archetti, Stefano Lanzeni, Enza Messina,...
TSMC
2002
125views more  TSMC 2002»
14 years 9 months ago
Dynamic page based crossover in linear genetic programming
Page-based Linear Genetic Programming (GP) is proposed in which individuals are described in terms of a number of pages. Pages are expressed in terms of a fixed number of instructi...
Malcolm I. Heywood, A. Nur Zincir-Heywood