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» A New Crossover Operator for Genetic Algorithms
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GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
13 years 8 months ago
GP age-layer and crossover effects in bid-offer spread prediction
The bid-offer spread on equity options is a key source of profits for market makers, and a key cost for those trading in the options. Spreads are influenced by dynamic market f...
Amy Willis, Suneer Patel, Christopher D. Clack
CEC
2005
IEEE
14 years 1 months ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
GECCO
2006
Springer
121views Optimization» more  GECCO 2006»
13 years 11 months ago
A splicing/decomposable encoding and its novel operators for genetic algorithms
In this paper, we introduce a new genetic representation -- a splicing/decomposable (S/D) binary encoding, which was proposed based on some theoretical guidance and existing recom...
Yong Liang, Kwong-Sak Leung, Kin-Hong Lee
SIGADA
2004
Springer
14 years 29 days ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
ICTAI
2008
IEEE
14 years 2 months ago
Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm
We introduce a new adaptive genetic method for AVT generation, MCM-AVT-Learner. The MCM-AVTLearner imports the mutation and crossover matrices which makes effective use of the fi...
Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yan...