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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 6 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»
15 years 3 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
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 8 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 11 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...
137
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CEC
2009
IEEE
15 years 9 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