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» Particle Swarm Optimization Using Adaptive Mutation
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ATAL
2006
Springer
15 years 1 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
ASC
2006
14 years 11 months ago
Optimal phase shifter coordination: A multidimensional problem
In a liberalized electricity market, the use of phase shifting transformers or other power flow controlling devices allows the transmission system operator to utilize the availabl...
Jody Verboomen, Dirk Van Hertem, Ronnie Belmans, P...
104
Voted
ICPR
2008
IEEE
15 years 4 months ago
Multimodal biometrics management using adaptive score-level combination
This paper presents a new evolutionary approach for adaptive combination of multiple biometrics to dynamically ensure the performance for the desired level of security. The adapti...
Ajay Kumar, Vivek Kanhangad, David Zhang
GECCO
2008
Springer
324views Optimization» more  GECCO 2008»
14 years 10 months ago
Convergence behavior of the fully informed particle swarm optimization algorithm
The fully informed particle swarm optimization algorithm (FIPS) is very sensitive to changes in the population topology. The velocity update rule used in FIPS considers all the ne...
Marco Antonio Montes de Oca, Thomas Stützle
101
Voted
CEC
2009
IEEE
15 years 4 months ago
Robot path planning in uncertain environments based on particle swarm optimization
— We propose a robot path planning method based on particle swarm optimization in an uncertain environment. We consider the case that a robot’s cognition to its environment is ...
Dunwei Gong, Li Lu, Ming Li