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IDA
2002
Springer
13 years 9 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
14 years 2 months ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
ICIC
2007
Springer
14 years 3 months ago
On the Convergence Properties of Quantum-Inspired Multi-Objective Evolutionary Algorithms
Abstract. In this paper, a general framework of quantum-inspired multiobjective evolutionary algorithms is proposed based on the basic principles of quantum computing and general s...
Zhiyong Li, Zhe Li, Günter Rudolph
EVOW
2006
Springer
14 years 26 days ago
Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation
Abstract. We introduce a novel representation for the graph colouring problem, called the Integer Merge Model, which aims to reduce the time complexity of an algorithm. Moreover, o...
István Juhos, Jano I. van Hemert
HAIS
2009
Springer
14 years 13 days ago
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
Abstract. Cooperative Coevolution is a technique in the area of Evolutionary Computation. It has been applied to many combinatorial problems with great success. This contribution p...
Joaquín Derrac, Salvador García, Fra...