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ICPR
2002
IEEE
14 years 11 months ago
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
CAMP
2005
IEEE
14 years 4 months ago
Restoration of Vertical Line Scratches with a Distributed Genetic Algorithm
— This contribution approaches the problem of scratch restoration in old movies as a optimisation’s problem. The functional based on the statistical properties of the image aro...
Francesco Isgrò, Domenico Tegolo
GECCO
2003
Springer
133views Optimization» more  GECCO 2003»
14 years 3 months ago
Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm
In this study a multi-objective genetic algorithm approach is developed for determining new reaction rate parameters for the combustion of kerosene/air mixtures. The multi-objectiv...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
14 years 2 months ago
Candlestick stock analysis with genetic algorithms
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
Peter Belford
ANLP
1997
111views more  ANLP 1997»
13 years 11 months ago
An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
We proposed a method of machine translation using inductive learning with genetic algorithms, and confirmed the effectiveness of applying genetic algorithms. However, the system b...
Hiroshi Echizen-ya, Kenji Araki, Yoshikazu Miyanag...