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EAAI
2006
161views more  EAAI 2006»
13 years 8 months ago
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
Dongrui Wu, Woei Wan Tan
CEC
2007
IEEE
14 years 2 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
ICARCV
2002
IEEE
185views Robotics» more  ICARCV 2002»
14 years 1 months ago
Evolving cooperative robotic behaviour using distributed genetic programming
Cooperative robotic systems provide design and implementation challenges that are not easy to solve. This paper describes a parallel implementation for evolving cooperative roboti...
Chris H. Messom, Matthew G. Walker
IEAAIE
1998
Springer
14 years 22 days ago
Topological Modeling with Fuzzy Petri Nets for Autonomous Mobile Robots
In this paper a novel method of reference places' detection to build topological models is described, as well as an algorithm for route planning based on Fuzzy Petri Nets. The...
Javier de Lope Asiaín, Darío Maraval...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 2 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