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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolution of multi-loop controllers for fixed morphology with a cyclic genetic algorithm
Cyclic genetic algorithms can be used to generate single loop control programs for robots. While successful in generating controllers for individual leg movement, gait generation,...
Gary B. Parker, Ramona Georgescu
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 19 days ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
13 years 11 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
ISCI
2007
105views more  ISCI 2007»
13 years 7 months ago
A hybrid genetic algorithm and bacterial foraging approach for global optimization
The social foraging behavior of Escherichia coli bacteria has been used to solve optimization problems. This paper proposes a hybrid approach involving genetic algorithms (GA) and...
Dong Hwa Kim, Ajith Abraham, Jae Hoon Cho
ICSE
2008
IEEE-ACM
14 years 8 months ago
On the automation of fixing software bugs
Software Testing can take up to half of the resources of the development of new software. Although there has been a lot of work on automating the testing phase, fixing a bug after...
Andrea Arcuri