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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 3 days ago
Particle swarm hybridized with differential evolution: black box optimization benchmarking for noisy functions
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noisy functions (BBOB 2009)....
José García-Nieto, Enrique Alba, Jav...
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
14 years 3 days ago
Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noiseless functions (BBOB 20...
José García-Nieto, Enrique Alba, Jav...
CEC
2010
IEEE
13 years 8 months ago
Optimization of biogas production with computational intelligence a comparative study
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which lead...
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oli...
GECCO
2003
Springer
163views Optimization» more  GECCO 2003»
14 years 21 days ago
Swarms in Dynamic Environments
Charged particle swarm optimization (CPSO) is well suited to the dynamic search problem since inter-particle repulsion maintains population diversity and good tracking can be achie...
T. M. Blackwell
TEC
2008
109views more  TEC 2008»
13 years 7 months ago
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
Many areas in power systems require solving one or more nonlinear optimization problems. While analytical methods might suffer from slow convergence and the curse of dimensionality...
Y. del Valle, Ganesh K. Venayagamoorthy, Salman Mo...