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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 1 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
WSTST
2005
Springer
14 years 1 months ago
Hybrid Neurocomputing for Breast Cancer Detection
Breast cancer is one of the major tumor related cause of death in women. Various artificial intelligence techniques have been used to improve the diagnoses procedures and to aid t...
Yuehui Chen, Ajith Abraham, Bo Yang
FLAIRS
2006
13 years 9 months ago
Evolving Keys for Periodic Polyalphabetic Ciphers
A genetic algorithm is used to find the keys of Type II periodic polyalphabetic ciphers with mixed primary alphabets. Because of the difficulty of the ciphertext only cryptanalysi...
Ralph Morelli, Ralph Walde
PPSN
2004
Springer
14 years 1 months ago
Multi-objective Optimisation by Co-operative Co-evolution
This paper presents the integration between a co-operative co-evolutionary genetic algorithm (CCGA) and four evolutionary multiobjective optimisation algorithms (EMOAs): a multi-ob...
Kuntinee Maneeratana, Kittipong Boonlong, Nachol C...
EOR
2007
100views more  EOR 2007»
13 years 8 months ago
Parallel radial basis function methods for the global optimization of expensive functions
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
Rommel G. Regis, Christine A. Shoemaker