Sciweavers

440 search results - page 14 / 88
» Dynamic Control of Genetic Algorithms in a Noisy Environment
Sort
View
TSMC
1998
126views more  TSMC 1998»
13 years 7 months ago
Decentralized adaptive fuzzy control of robot manipulators
—This paper develops a decentralized adaptive fuzzy control scheme for robot manipulators via a combination of genetic algorithm and gradient method. The controller for each link...
Yaochu Jin
AE
2007
Springer
14 years 1 months ago
Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
Renaud Barate, Antoine Manzanera
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 1 days ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
13 years 9 months ago
Robust grey-box closed-loop stop-and-go control
This paper presents a robust stop-and-go control law, especially well adapted to car following scenarios in urban environments. Since many vehicle/road interaction factors (road sl...
Jorge Villagra, Brigitte d'Andréa-Novel, Mi...
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
13 years 11 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin