Sciweavers

20 search results - page 4 / 4
» Improving Metaheuristic Performance by Evolving a Variable F...
Sort
View
CEC
2009
IEEE
13 years 11 months ago
Differential Evolution with Laplace mutation operator
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
Millie Pant, Radha Thangaraj, Ajith Abraham, Crina...
GECCO
2009
Springer
13 years 9 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
EVOW
1994
Springer
13 years 8 months ago
Competitive Evolution: A Natural Approach to Operator Selection
One of the main problems in applying evolutionary optimisation methods is the choice of operators and parameter values. This paper propose a competitive evolution method, in which ...
Q. Tuan Pham
BMCBI
2008
96views more  BMCBI 2008»
13 years 4 months ago
Use of normalization methods for analysis of microarrays containing a high degree of gene effects
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
Terri T. Ni, William J. Lemon, Yu Shyr, Tao P. Zho...
IJCNN
2006
IEEE
13 years 10 months 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...