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CEC
2008
IEEE
14 years 3 months ago
A Quantum-inspired Genetic Algorithm for data clustering
—The conventional K-Means clustering algorithm must know the number of clusters in advance and the clustering result is sensitive to the selection of the initial cluster centroid...
Jing Xiao, YuPing Yan, Ying Lin, Ling Yuan, Jun Zh...
CAINE
2003
13 years 10 months ago
A Genetic Algorithm for Clustering on Very Large Data Sets
Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
Jim Gasvoda, Qin Ding
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
14 years 2 months ago
Hybrid real-coded mutation for genetic algorithms applied to graph layouts
In this paper we introduce an application of real-coded genetic algorithms to the problem of consistent graph layout and exploring the role of mutation for this particular problem...
Dana Vrajitoru, Jason DeBoni
HPCC
2007
Springer
14 years 3 months ago
Parallel Genetic Algorithms for DVS Scheduling of Distributed Embedded Systems
Many of today’s embedded systems, such as wireless and portable devices rely heavily on the limited power supply. Therefore, energy efficiency becomes one of the major design con...
Man Lin, Chen Ding
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 2 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...