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GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
13 years 11 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 8 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...
CSDA
2006
98views more  CSDA 2006»
13 years 7 months ago
Frequency estimation of undamped exponential signals using genetic algorithms
: In this paper, we consider the problem of frequency estimation of undamped superimposed exponential signals model. We propose two iterative techniques of frequency estimation usi...
Amit Mitra, Debasis Kundu, Gunjan Agrawal
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
13 years 11 months ago
Using Genetic Algorithms with Asexual Transposition
Traditional Genetic Algorithms (GA) use crossover and mutation as the main genetic operators to achieve population diversity. Previous work using a biologically inspired genetic o...
Anabela Simões, Ernesto Costa
CEC
2008
IEEE
14 years 2 months ago
Hyper-selection in dynamic environments
— In recent years, several approaches have been developed for genetic algorithms to enhance their performance in dynamic environments. Among these approaches, one kind of methods...
Shengxiang Yang, Renato Tinós