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» Compound Particle Swarm Optimization in Dynamic Environments
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CEC
2007
IEEE
13 years 11 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
RAS
2010
108views more  RAS 2010»
13 years 3 months ago
Swarm-supported outdoor localization with sparse visual data
— The localization of mobile systems with video data is a challenging field in robotic vision research. Apart from artificial environmental support technologies like GPS locali...
Marcel Kronfeld, Christian Weiss, Andreas Zell
CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
13 years 11 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng
SERA
2007
Springer
13 years 11 months ago
A Particle Swarm Social Model for Multi-Agent Based Insurgency Warfare Simulation
To better understand insurgent activities and asymmetric warfare, a social adaptive model for modeling multiple insurgent groups attacking multiple military and civilian targets i...
Xiaohui Cui, Thomas E. Potok
NC
2002
210views Neural Networks» more  NC 2002»
13 years 5 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis