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GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
16 years 1 months ago
Cheating for problem solving: a genetic algorithm with social interactions
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin
GLOBECOM
2007
IEEE
16 years 26 days ago
A Novel Distributed Scheduling Algorithm for Wireless Mesh Networks
— Wireless multi-hop, mesh networks are being considered as a candidate to backhaul data traffic from access networks to the wired Internet. These mesh networks are referred to a...
Yun Hou, Kin K. Leung
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
16 years 20 days ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
16 years 17 days ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
EMO
2005
Springer
194views Optimization» more  EMO 2005»
16 years 1 days ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks