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EUROGP
2000
Springer
107views Optimization» more  EUROGP 2000»
13 years 11 months ago
Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
Abstract. Statistical techniques for designing and analysing experiments are used to evaluate the individual and combined effects of genetic programming parameters. Three binary cl...
Robert Feldt, Peter Nordin
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 1 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
ICIAP
2001
Springer
14 years 7 months ago
Global Optimization of Deformable Surface Meshes Based on Genetic Algorithms
Deformable models are by their formulation able to solve surface extraction problem from noisy volumetric image data encountered commonly in medical image analysis. However, this ...
Jussi Tohka
IJCAI
1993
13 years 8 months ago
Genetic State-Space Search for Constrained Optimization Problems
This paper introduces GSSS (Genetic State-Space Search). The integration of two general search paradigms — genetic search and state-space-search provides a general framework whi...
Jan Paredis
CORR
2004
Springer
81views Education» more  CORR 2004»
13 years 7 months ago
Optimizing genetic algorithm strategies for evolving networks
This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
Matthew J. Berryman, Andrew Allison, Derek Abbott