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HIS
2008
13 years 10 months ago
Hybrid Approach for Machine Scheduling Optimization in Custom Furniture Industry
Machine scheduling is a critical problem in industries where products are custom-designed. The wide range of products, the lack of previous experiences in manufacturing, and the s...
Juan Carlos Vidal, Manuel Mucientes, Alberto Bugar...
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 18 days ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
14 years 3 months ago
A Genetic Approach to Multivariate Microaggregation for Database Privacy
Microaggregation is a technique used to protect privacy in databases and location-based services. We propose a new hybrid technique for multivariate microaggregation. Our techniqu...
Antoni Martínez-Ballesté, Agusti Sol...
BMCBI
2008
142views more  BMCBI 2008»
13 years 9 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
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...
Fang-Xiang Wu
CGO
2005
IEEE
14 years 2 months ago
Optimizing Sorting with Genetic Algorithms
The growing complexity of modern processors has made the generation of highly efficient code increasingly difficult. Manual code generation is very time consuming, but it is oft...
Xiaoming Li, María Jesús Garzar&aacu...