54 search results - page 1 / 11 » An Adaptive Penalty Scheme for Steady-State Genetic Algorith... |
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
A parameter-less adaptive penalty scheme for steady-state genetic algorithms applied to constrained optimization problems is proposed. For each constraint, a penalty parameter is a...
IJSYSC
1998
13 years 4 months ago
1998
This paper presents a new analysis and design method for model reference adaptive control(MRAC) with arbitrary bounded input nonlinearities. The adaptive algorithm ensures that th...
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
ENC
2006
IEEE
13 years 8 months ago
2006
IEEE
In this work, by using the local node refinement technique purposed in [2, 1], and a quad-tree type algorithm [3, 13], we built a global refinement technique for Kansa's unsy...
CDC
2010
IEEE
12 years 11 months ago
2010
IEEE
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...