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GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
14 years 2 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 2 months ago
Towards billion-bit optimization via a parallel estimation of distribution algorithm
This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm (cGA) to solve very large scale problems with millions to billions of va...
Kumara Sastry, David E. Goldberg, Xavier Llor&agra...
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
14 years 2 months ago
Exploring relationships between genotype and oral cancer development through XCS
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Alessandro Passaro, Flavio Baronti, Valentina Magg...
BMCBI
2010
108views more  BMCBI 2010»
13 years 8 months ago
Confronting two-pair primer design for enzyme-free SNP genotyping based on a genetic algorithm
Background: Polymerase chain reaction with confronting two-pair primers (PCR-CTPP) method produces allelespecific DNA bands of different lengths by adding four designed primers an...
Cheng-Hong Yang, Yu-Huei Cheng, Li-Yeh Chuang, Hsu...
EMMCVPR
2001
Springer
14 years 1 months ago
Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems
The interest of graph matching techniques in the pattern recognition field is increasing due to the versatility of representing knowledge in the form of graphs. However, the size ...
Endika Bengoetxea, Pedro Larrañaga, Isabell...