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» Hyper-selection in dynamic environments
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IROS
2006
IEEE
175views Robotics» more  IROS 2006»
14 years 1 months ago
Toward Online Probabilistic Path Replanning in Dynamic Environments
— This paper presents work on sensor-based motion planning in initially unknown dynamic environments. Motion detection and modeling are combined with a smooth navigation function...
Roland Philippsen, Björn Jensen, Roland Siegw...
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
EVOW
2008
Springer
13 years 9 months ago
Compound Particle Swarm Optimization in Dynamic Environments
Adaptation to dynamic optimization problems is currently receiving a growing interest as one of the most important applications of evolutionary algorithms. In this paper, a compoun...
Lili Liu, Dingwei Wang, Shengxiang Yang
MA
2001
Springer
118views Communications» more  MA 2001»
13 years 12 months 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