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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 6 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
90
Voted
GECCO
2006
Springer
122views Optimization» more  GECCO 2006»
15 years 4 months ago
Genetic algorithms are suitable for driving microbial ecosystems in desirable directions
The behavior of natural, biological ecosystems is for a large part determined by environmental conditions. It should therefore be possible to experimentally manipulate such condit...
Frederik P. J. Vandecasteele, Thomas F. Hess, Rona...
90
Voted
GECCO
2010
Springer
188views Optimization» more  GECCO 2010»
15 years 4 months ago
Benchmarking real-coded genetic algorithm on noisy black-box optimization testbed
Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
Thanh-Do Tran, Gang-Gyoo Jin
86
Voted
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 4 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
TR
2008
78views more  TR 2008»
15 years 15 days ago
MOMS-GA: A Multi-Objective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems
A custom genetic algorithm was developed and implemented to solve multiple objective multi-state reliability optimization design problems. Many real-world engineering design proble...
Heidi A. Taboada, Jose F. Espiritu, David W. Coit