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JCIT
2008
108views more  JCIT 2008»
13 years 9 months ago
Data Mining for Genetics: A Genetic Algorithm Approach
MINING biological data is an emerging area of intersection between data mining and bioinformatics. Bio-informaticians have been working on the research and development of computat...
G. Madhu, Keshava Reddy
EMO
2001
Springer
109views Optimization» more  EMO 2001»
14 years 1 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 2 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
SLS
2009
Springer
235views Algorithms» more  SLS 2009»
14 years 3 months ago
EasyGenetic: A Template Metaprogramming Framework for Genetic Master-Slave Algorithms
Stefano Benedettini, Andrea Roli, Luca Di Gaspero
CORR
2008
Springer
96views Education» more  CORR 2008»
13 years 9 months ago
Time Dependent Contraction Hierarchies -- Basic Algorithmic Ideas
Contraction hierarchies are a simple hierarchical routing technique that has proved extremely efficient for static road networks. We explain how to generalize them to networks wit...
Peter Sanders