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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 8 months ago
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
In many real-world design problems, uncertainties are often present and practically impossible to avoid. Many existing works on Evolutionary Algorithm (EA) for handling uncertaint...
Dudy Lim, Yew-Soon Ong, Bu-Sung Lee
AE
2007
Springer
15 years 8 months 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
148
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GI
1998
Springer
15 years 6 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
GEM
2009
15 years 5 days ago
Evidence of Coevolution in Multi-objective Evolutionary Algorithms
- This paper demonstrates that simple yet important characteristics of coevolution can occur in evolutionary algorithms when only a few conditions are met. We find that interaction...
James Whitacre
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
15 years 3 months ago
Fitness calculation approach for the switch-case construct in evolutionary testing
A well-designed fitness function is essential to the effectiveness and efficiency of evolutionary testing. Fitness function design has been researched extensively. For fitness ...
Yan Wang, Zhiwen Bai, Miao Zhang, Wen Du, Ying Qin...