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GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 3 months ago
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
Xiaodong Li
JCP
2008
97views more  JCP 2008»
14 years 9 months ago
Vocal Tract Area Function Estimation Using Particle Swarm
-- The problem of estimating the Vocal Tract Area Functions (VTAF) from speech signals arise in many applications. However, the existing methods for solving this problem were desig...
Mahmoud A. Ismail
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 3 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 3 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
CEC
2010
IEEE
14 years 10 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...