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135
Voted
PPSN
2004
Springer
15 years 8 months ago
2004
Springer
In spite of the recent quick growth of the Evolutionary Multi-objective Optimization (EMO) research field, there has been few trials to adapt the general variation operators to t...
141
Voted
CEC
2010
IEEE
15 years 3 months ago
2010
IEEE
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
112
Voted
CEC
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract— Designing efficient algorithms for difficult multiobjective optimization problems is a very challenging problem. In this paper a new clustering multi-objective evolut...
158
Voted
EVOW
2010
Springer
15 years 1 months ago
2010
Springer
Background: Identifying approximately repeated patterns, or motifs, in DNA sequences from a set of co-regulated genes is an important step towards deciphering the complex gene reg...
118
Voted
TEC
2008
15 years 2 months ago
2008
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...