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ICANNGA
2007
Springer
13 years 10 months ago
Particle Swarms for Multimodal Optimization
Abstract. In this paper, five previous Particle Swarm Optimization (PSO) algorithms for multimodal function optimization are reviewed. A new and a successful PSO based algorithm, n...
Ender Özcan, Murat Yilmaz
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 13 days ago
Bayesian optimization models for particle swarms
We explore the use of information models as a guide for the development of single objective optimization algorithms, giving particular attention to the use of Bayesian models in a...
Christopher K. Monson, Kevin D. Seppi
IJCNN
2006
IEEE
14 years 29 days ago
Design of Optimal PI Controllers for Doubly Fed Induction Generators Driven by Wind Turbines Using Particle Swarm Optimization
– When subjected to transient disturbances in the power grid, the variable frequency converter (VFC) is the most sensitive part in the variable-speed wind turbine generator syste...
Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Har...
IROS
2007
IEEE
101views Robotics» more  IROS 2007»
14 years 1 months ago
PSO-Tuned F2 method for multi-robot navigation
—The F2 (Force Field) method is a novel approach for multi-robot motion planning and collision avoidance. The setting of parameters is however vital to its performance. This pape...
Dalong Wang, Ngai Ming Kwok, D. K. Liu, Haye Lau, ...
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
14 years 1 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa