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GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
15 years 7 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan
ICDIM
2007
IEEE
16 years 11 days ago
Exploration of multiple roots for a polynomial system
Several problems from engineering, chemistry, medicine, etc. can be formulated as a system of equations. Finding a solution for such a system sometimes requires high computational...
Crina Grosan, Ajith Abraham
IWANN
2007
Springer
16 years 5 days ago
An EA Multi-model Selection for SVM Multiclass Schemes
Multiclass problems with binary SVM classifiers are commonly treated as a decomposition in several binary sub-problems. An open question is how to properly tune all these sub-prob...
Gilles Lebrun, Olivier Lezoray, Christophe Charrie...
IJCNN
2006
IEEE
16 years 2 days ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 11 months ago
Analysis of the (1+1) EA for a Noisy OneMax
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Stefan Droste