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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 5 days ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
TEC
2010
77views more  TEC 2010»
15 years 22 days ago
On Set-Based Multiobjective Optimization
Abstract--Assuming that evolutionary multiobjective optimization (EMO) mainly deals with set problems, one can identify three core questions in this area of research: (i) how to fo...
Eckart Zitzler, Lothar Thiele, Johannes Bader
SYNASC
2005
IEEE
110views Algorithms» more  SYNASC 2005»
15 years 11 months ago
Performance Tuning of Evolutionary Algorithms Using Particle Sub Swarms
Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. This paper proposes a new particle swarm variant whi...
Crina Grosan, Ajith Abraham, Monica Nicoara
AE
2007
Springer
16 years 6 days ago
Adaptive and Assortative Mating Scheme for Evolutionary Multi-Objective Algorithms
We are interested in the role of restricted mating schemes in the context of evolutionary multi-objective algorithms. In this paper, we propose an adaptive assortative mating schem...
Khoi Le, Dario Landa Silva
DAM
2008
115views more  DAM 2008»
15 years 6 months ago
Variable space search for graph coloring
Let G = (V, E) be a graph with vertex set V and edge set E. The k-coloring problem is to assign a color (a number chosen in {1, . . . , k}) to each vertex of G so that no edge has...
Alain Hertz, Matthieu Plumettaz, Nicolas Zufferey