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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 10 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
ICIP
2010
IEEE
13 years 6 months ago
Objective assessment of tone mapping algorithms
There has been a growing interest in recent years to develop tone mapping algorithms that can convert high dynamic range (HDR) to low dynamic range (LDR) images, so that they can ...
Hojatollah Yeganeh, Zhou Wang
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
14 years 2 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
JCP
2007
108views more  JCP 2007»
13 years 9 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...
APIN
2000
120views more  APIN 2000»
13 years 9 months ago
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
Francisco Herrera, Manuel Lozano