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» Simplifying Particle Swarm Optimization
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ATAL
2006
Springer
15 years 3 months ago
Multi-robot learning with particle swarm optimization
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
Jim Pugh, Alcherio Martinoli
GECCO
2003
Springer
15 years 5 months ago
Optimization Using Particle Swarms with Near Neighbor Interactions
This paper presents a modification of the particle swarm optimization algorithm (PSO) intended to combat the problem of premature convergence observed in many applications of PSO. ...
Kalyan Veeramachaneni, Thanmaya Peram, Chilukuri K...
ANTSW
2008
Springer
15 years 1 months ago
A Dynamic Swarm for Visual Location Tracking
Abstract. The visual localization problem in robotics poses a dynamically changing environment due to the movement of the robot compared to a static image set serving as environmen...
Marcel Kronfeld, Christian Weiss, Andreas Zell
IPPS
2007
IEEE
15 years 6 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 3 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule