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EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
14 years 9 days ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
EKAW
2004
Springer
14 years 2 months ago
A Hybrid Algorithm for Alignment of Concept Hierarchies
Hierarchical categorization is a powerful and convenient method so that it is commonly used in various areas, such as ontologies. Although each hierarchy is useful, there are probl...
Ryutaro Ichise, Masahiro Hamasaki, Hideaki Takeda
CP
2004
Springer
14 years 2 months ago
A Hybrid Method for Planning and Scheduling
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve planning and scheduling problems. Tasks are allocated to facilities using MILP and sche...
John N. Hooker
BMCBI
2008
142views more  BMCBI 2008»
13 years 8 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
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
14 years 1 months ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch