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AEI
2005
99views more  AEI 2005»
15 years 4 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
137
Voted
ICDAR
2009
IEEE
15 years 11 months ago
Temporal Order Recovery of the Scanned Handwriting
In this paper, we present a new approach to the temporal order restoration of the off-line handwriting. After the preprocessing steps of the word image, a suitable algorithm makes...
Abdelkarim Elbaati, Monji Kherallah, Abdellatif En...
116
Voted
GECCO
2007
Springer
132views Optimization» more  GECCO 2007»
15 years 10 months ago
Empirical analysis of ideal recombination on random decomposable problems
This paper analyzes the behavior of a selectorecombinative genetic algorithm (GA) with an ideal crossover on a class of random additively decomposable problems (rADPs). Specifical...
Kumara Sastry, Martin Pelikan, David E. Goldberg
EUROGP
2005
Springer
156views Optimization» more  EUROGP 2005»
15 years 10 months ago
Evolving Rules for Document Classification
We describe a novel method for using Genetic Programming to create compact classification rules based on combinations of N-Grams (character strings). Genetic programs acquire fitne...
Laurence Hirsch, Masoud Saeedi, Robin Hirsch
148
Voted
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
15 years 10 months ago
A Statistical Model of GA Dynamics for the OneMax Problem
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
Bulent Buyukbozkirli, Erik D. Goodman