289 search results - page 30 / 58 » Hybrid Genetic Algorithms: A Review |
120
Voted
IPPS
1999
IEEE
15 years 4 months ago
1999
IEEE
Abstract. We have investigated the adaptation of AI-based search techniques as topologyindependent fault-tolerant routing strategies on multiprocessor networks [9]. The results sho...
109
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GECCO
2003
Springer
15 years 5 months ago
2003
Springer
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
113
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CEC
2007
IEEE
15 years 2 months ago
2007
IEEE
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
107
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BMCBI
2008
15 years 17 days ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Genetic algorithms (GAs) have long been used for large join query optimization (LJQO). Previous work takes all queries as based on one granularity to optimize GAs and compares the...