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» Removing the Genetics from the Standard Genetic Algorithm
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IVC
2008
74views more  IVC 2008»
14 years 10 months ago
Log-polar mapping template design: From task-level requirements to geometry parameters
The best parameters defining the geometry of a visual sensor generally depend on the particular visual task the sensor is intended to be used in. However, translating task require...
V. Javier Traver, Filiberto Pla
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving petri nets to represent metabolic pathways
Given concentrations of metabolites over a sequence of time steps, the metabolic pathway prediction problem seeks a set of reactions and rate constants for them that could yield t...
Jeremiah Nummela, Bryant A. Julstrom
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
15 years 3 months ago
Study Diploid System by a Hamiltonian Cycle Problem Algorithm
Complex representation in Genetic Algorithms and pattern in real problems limits the effect of crossover to construct better pattern from sporadic building blocks. Instead of intro...
Dong Xianghui, Ruwei Dai
ICSEA
2007
IEEE
15 years 4 months ago
Software Environment for Research on Evolving User Interface Designs
We investigate the trade off between investing effort in improving the features of a research environment that increases productivity and investing such effort in actually conduct...
Juan C. Quiroz, Anil Shankar, Sergiu M. Dascalu, S...
GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
15 years 4 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener