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» Evolutionary Computation for Modeling and Optimization
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GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
14 years 4 days ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
14 years 3 months ago
Bringing evolutionary computation to industrial applications with guide
Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
Luís Da Costa, Marc Schoenauer
AMC
2007
124views more  AMC 2007»
13 years 9 months ago
Applying evolutionary computation methods for the cryptanalysis of Feistel ciphers
In this contribution instances of a problem introduced by the differential cryptanalysis of Feistel cryptosystems are formulated as optimization tasks. The performance of Evoluti...
E. C. Laskari, Gerasimos C. Meletiou, Yannis C. St...
GECCO
2006
Springer
207views Optimization» more  GECCO 2006»
14 years 14 days ago
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design
A robust dynamic evolutionary algorithm (labeled RODEA), where both the robust calculation and mutation operator are based on an orthogonal design, is proposed in this paper. Prev...
Sanyou Y. Zeng, Rui Wang, Hui Shi, Guang Chen, Hug...
ECAL
2005
Springer
14 years 2 months ago
Evolutionary Transitions as a Metaphor for Evolutionary Optimisation
Abstract. This paper proposes a computational model for solving optimisation problems that mimics the principle of evolutionary transitions in individual complexity. More specific...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert