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TKDE
2008
197views more  TKDE 2008»
15 years 6 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...
CEC
2009
IEEE
16 years 1 months ago
A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design
Abstract— Designing efficient algorithms for difficult multiobjective optimization problems is a very challenging problem. In this paper a new clustering multi-objective evolut...
Yuping Wang, Chuangyin Dang, Hecheng Li, Lixia Han...
NTMS
2009
IEEE
16 years 1 months ago
An Adaptive Quantization Algorithm for Secret Key Generation Using Radio Channel Measurements
—New approaches that generate secret keys from radio channel characteristics have been recently proposed. The security of these schemes usually relies on the reciprocity principl...
Sana Tmar Ben Hamida, Jean-Benoît Pierrot, C...
CEC
2007
IEEE
16 years 1 months ago
How well do multi-objective evolutionary algorithms scale to large problems
Abstract— In spite of large amount of research work in multiobjective evolutionary algorithms, most have evaluated their algorithms on problems with only two to four objectives. ...
Kata Praditwong, Xin Yao
IPPS
2007
IEEE
16 years 1 months ago
A Grid-enabled Branch and Bound Algorithm for Solving Challenging Combinatorial Optimization Problems
Solving optimally large instances of combinatorial optimization problems requires a huge amount of computational resources. In this paper, we propose an adaptation of the parallel...
Mohand-Said Mezmaz, Nouredine Melab, El-Ghazali Ta...