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BMCBI
2004
158views more  BMCBI 2004»
13 years 7 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
ISDA
2005
IEEE
14 years 1 months ago
Hybrid Fuzzy-Genetic Algorithm Approach for Crew Grouping
Crew grouping is an important problem and formulating a good solution always involves many challenges. For example, grouping soldiers intelligently to tank combat units, we should...
Hongbo Liu, Zhanguo Xu, Ajith Abraham
TEC
2002
117views more  TEC 2002»
13 years 7 months ago
A genetic algorithm for shortest path routing problem and the sizing of populations
This paper presents a genetic algorithmic approach to the shortest path (SP) routing problem. Variable-length chromosomes (strings) and their genes (parameters) have been used for ...
Chang Wook Ahn, Rudrapatna S. Ramakrishna
RAS
2000
130views more  RAS 2000»
13 years 7 months ago
Allocating optimal index positions on tool magazines using genetic algorithms
This paper presents an optimisation system software developed for the determination of optimal index positions of cutting tools on the automatic tool changer (ATC) or turret magaz...
Türkay Dereli, I. Hüseyin Filiz
CEC
2010
IEEE
13 years 8 months ago
A hybrid genetic algorithm and inver over approach for the travelling salesman problem
This paper proposes a two-phase hybrid approach for the travelling salesman problem (TSP). The first phase is based on a sequence based genetic algorithm (SBGA) with an embedded lo...
Shakeel Arshad, Shengxiang Yang