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» Evolving Quasigroups by Genetic Algorithms
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CEC
2008
IEEE
14 years 3 months ago
Real-time evolution of an embedded controller for an autonomous helicopter
— In this paper we evolve the parameters of a proportional, integral, and derivative (PID) controller for an unstable, complex and nonlinear system. The individuals of the applie...
Benjamin N. Passow, Mario A. Góngora, S. Co...
EC
2007
160views ECommerce» more  EC 2007»
13 years 9 months ago
Agent-Based Model of Genotype Editing
Evolutionary algorithms rarely deal with ontogenetic, non-inherited alteration of genetic information because they are based on a direct genotype-phenotype mapping. In contrast, i...
Chien-Feng Huang, Jasleen Kaur, Ana Gabriela Magui...
GECCO
2006
Springer
139views Optimization» more  GECCO 2006»
14 years 26 days ago
Genetic programming: optimal population sizes for varying complexity problems
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
Alan Piszcz, Terence Soule
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 3 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
218views Optimization» more  GECCO 2010»
14 years 1 months ago
Cartesian genetic programming
This paper presents a new form of Genetic Programming called Cartesian Genetic Programming in which a program is represented as an indexed graph. The graph is encoded in the form o...
Julian Francis Miller, Simon L. Harding