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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 2 months ago
An empirical investigation of how and why neutrality affects evolutionary search
The effects of neutrality on evolutionary search have been considered in a number of interesting studies, the results of which, however, have been contradictory. Some researchers ...
Edgar Galván López, Riccardo Poli
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
14 years 11 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
79
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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 4 months 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
EOR
2010
104views more  EOR 2010»
14 years 7 months ago
New solution methods for single machine bicriteria scheduling problem: Minimization of average flowtime and number of tardy jobs
We consider the bicriteria scheduling problem of minimizing the number of tardy jobs and average flowtime on a single machine. This problem, which is known to be NP-hard, is impor...
Fatih Safa Erenay, Ihsan Sabuncuoglu, Aysegül...
CEC
2009
IEEE
15 years 5 months ago
The multiobjective evolutionary algorithm based on determined weight and sub-regional search
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
Hai-lin Liu, Xueqiang Li