161 search results - page 6 / 33 » Fitness Sharing in Genetic Programming |
119
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CEC
2010
IEEE
14 years 5 months ago
2010
IEEE
— If a population of programs evolved not for a few hundred generations but for a few hundred thousand or more, could it generate more interesting behaviours and tackle more comp...
178
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IWCLS
2007
Springer
15 years 7 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
118
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GECCO
2010
Springer
15 years 1 months ago
2010
Springer
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
GECCO
2007
Springer
15 years 7 months ago
2007
Springer
We consider multitask learning of visual concepts within genetic programming (GP) framework. The proposed method evolves a population of GP individuals, with each of them composed...
105
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...