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SMC
2007
IEEE
125views Control Systems» more  SMC 2007»
15 years 3 months ago
A hierarchical strategy for learning of robot walking strategies in natural terrain environments
– In this paper, we present a hierarchical methodology that learns new walking gaits autonomously while operating in an uncharted environment, such as on the Mars planetary surfa...
Ayanna M. Howard, Lonnie T. Parker
64
Voted
FOGA
1992
14 years 10 months ago
Generation Gaps Revisited
There has been a lot of recent interest in so-called "steady state" genetic algorithms (GAs) which, among other things, replace only a few individuals (typically 1 or 2)...
Kenneth A. De Jong, Jayshree Sarma
EVOW
2007
Springer
15 years 3 months ago
Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks
The effective reverse engineering of biochemical networks is one of the great challenges of systems biology. The contribution of this paper is two-fold: 1) We introduce a new meth...
Daniel Marbach, Claudio Mattiussi, Dario Floreano
77
Voted
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
14 years 10 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
14 years 10 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer