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HIS
2007
13 years 8 months ago
Genetic Programming meets Model-Driven Development
Genetic programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In such cases it is most likely a hard...
Thomas Weise, Michael Zapf, Mohammad Ullah Khan, K...
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
13 years 12 months ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
CEC
2007
IEEE
13 years 11 months ago
Development and validation of different hybridization strategies between GA and PSO
In this paper a new class of hybridization strategies between GA and PSO is presented and validated. The Genetical Swarm Optimization (GSO) approach is presented here with respect ...
A. Gandelli, F. Grimaccia, Marco Mussetta, Paola P...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 11 months ago
A genetic model based on simulated crossover of quaternary genes for quadratic fitness
We present a genetic model based on simulated recombination of fixed sequences of quaternary genes (assuming four distinct forms, or alleles). States and dynamics of the infinite ...
Marco Carpentieri, Vito Fedullo
CEC
2003
IEEE
13 years 11 months ago
Genetic algorithms applied to airport ground traffic optimization
Due to air traffic growth and especially hubs development, major European airports can easily become bottlenecks in the global air transportation network. Therefore, accurate model...
Jean-Baptiste Gotteland, Nicolas Durand