Joint evolution of morphologies and controllers for realistic modular robots
8
0
0
Texte intégral
(2)
Documents relatifs
By analysing the course of the evolutionary process for the experiments, we can observe important mechanisms such as local search (small continuous improvements in the fitness
For example, the model RFNN (Recurrent Fuzzy Neural Network) proposed in [14] defines recurrent connections in the second layer of the structure, which corresponds to the units
An evolutionary algorithm based on this repre- sentation can evolve all the components of the fuzzy system, and due to the properties of the representation, the algorithm (1)
Specialist Specialist Coalition of specialists Generalist Host choice Preference Behavioral adaptation Picky Opportunist Local adaptation Performance Physiological
The evolution of the multiscale morphology of a 2-mm thick plate and its consequences on its static mechanical properties during a long maturation time at ambient temperature
The review covers the classical objects of interest in population genetics (genetic drift, selection, demography and structure) but also describes several genomic
L’orientation de mes travaux [Ravat, Teste, Zurfluh, 2001a, 2002] s’inscrit dans la tendance des modèles spécialisés dans la représentation multidimensionnelle
Inspired by the above observations, the design of low- order controllers with delay as a control parameter have been addressed in several works, for example, Niculescu and
