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EUSFLAT
2001
119views Fuzzy Logic» more  EUSFLAT 2001»
13 years 6 months ago
Optimization of evolutionary strategies to achieve knowledge in faded temporal fuzzy logic controllers
In this document we cany out a comparative analysis of the reasoning strategies implemented in Fuzzy Logic Controllers (hereinafter FLCs) and Faded Temporal Fuzzy Logic Controller...
Manuel A. Gadeo Martos, Juan R. Velasco Pér...
CEC
2008
IEEE
13 years 7 months ago
Investigation of simply coded evolutionary artificial neural networks on robot control problems
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...
Yoshiaki Katada, Jun Nakazawa
CEC
2007
IEEE
13 years 11 months ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli
IPPS
1999
IEEE
13 years 9 months ago
Leonardo and Discipulus Simplex: An Autonomous, Evolvable Six-Legged Walking Robot
Evolutionary systems based on genetic algorithms GAs are common nowadays. One of the recent uses of such systems is in the burgeoning eld of evolvable hardware which involves, amo...
Gilles Ritter, Jean-Michel Puiatti, Eduardo Sanche...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
13 years 11 months ago
Evolution of Voronoi based fuzzy recurrent controllers
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. Among the most successful methods to auto...
Carlos Kavka, Patricia Roggero, Marc Schoenauer