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CEC
2009
IEEE
14 years 2 months ago
Hyper-learning for population-based incremental learning in dynamic environments
— The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. Recently, the PBIL algorithm has been applied...
Shengxiang Yang, Hendrik Richter
EVOW
2006
Springer
13 years 11 months ago
Associative Memory Scheme for Genetic Algorithms in Dynamic Environments
In recent years dynamic optimization problems have attracted a growing interest from the community of genetic algorithms with several approaches developed to address these problems...
Shengxiang Yang
MA
2001
Springer
118views Communications» more  MA 2001»
14 years 3 days ago
Dynamic Adaptation of Mobile Agents in Heterogenous Environments
Mobile agents must be prepared to execute on different hosts and therefore in different execution environments. Even when a homogenous exenvironment is offered by abstracting th...
Raimund Brandt, Helmut Reiser
AAAI
1998
13 years 9 months ago
Position Estimation for Mobile Robots in Dynamic Environments
For mobile robots to be successful, they have to navigate safely in populated and dynamic environments. While recent research has led to a variety of localization methods that can...
Dieter Fox, Wolfram Burgard, Sebastian Thrun, Armi...
SAC
2009
ACM
14 years 2 months ago
Keeping diversity when exploring dynamic environments
This paper presents a new exploration mechanism based on a heterogeneous multi-agent system that combines attractive and repulsive agents. We provide experimental results about th...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...