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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
JGO
2011
165views more  JGO 2011»
12 years 11 months ago
A biased random-key genetic algorithm for routing and wavelength assignment
The problem of routing and wavelength assignment (RWA) in wavelength division multiplexing (WDM) optical networks consists in routing a set of lightpaths and assigning a wavelength...
Thiago F. Noronha, Mauricio G. C. Resende, Celso C...
CEC
2009
IEEE
14 years 3 months ago
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...
Santosh Tiwari, Georges Fadel, Patrick Koch, Kalya...
TON
2008
120views more  TON 2008»
13 years 7 months ago
Centralized and distributed algorithms for routing and weighted max-min fair bandwidth allocation
Given a set of demands between pairs of nodes, we examine the traffic engineering problem of flow routing and fair bandwidth allocation where flows can be split to multiple paths ...
Miriam Allalouf, Yuval Shavitt
GECCO
2000
Springer
168views Optimization» more  GECCO 2000»
14 years 1 days ago
A Fault-tolerant Multicast Routing Algorithm in ATM Networks
This paper presents a genetic algorithm based method to solve the capacity and routing assignment problem arising in the design of selfhealing networks using the Virtual Path (VP)...
Sam Kwong, S. S. Chan