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Results 11-20 of 20 (Search time: 0.004 seconds).
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PreviewIssue DateTitleAuthor(s)
2017Reoptimization times of evolutionary algorithms on linear functions under dynamic uniform constraintsShi, F.; Schirneck, M.; Friedrich, T.; Kotzing, T.; Neumann, F.; Bosman, P.A.N.; Genetic and Evolutionary Computation Conference (GECCO) (15 Jul 2017 - 19 Jul 2017 : Berlin, Germany)
2011Foundations of evolutionary multi-objective optimizationFriedrich, T.; Neumann, F.; Krasnogor, N.; Lanzi, P.L.; 2011 Genetic and Evolutionary Computation Conference (12 Jul 2011 - 16 Jul 2011 : Dublin, Ireland)
2015Efficient optimization of many objectives by approximation-guided evolutionWagner, M.; Bringmann, K.; Friedrich, T.; Neumann, F.
2015Multiplicative approximations, optimal hypervolume distributions, and the choice of the reference pointFriedrich, T.; Neumann, F.; Thyssen, C.
2016Fast building block assembly by majority vote crossoverFriedrich, T.; Kötzing, T.; Krejca, M.; Nallaperuma, S.; Neumann, F.; Schirneck, M.; Friedrich, T.; Neumann, F.; Sutton, A.M.; 2016 Genetic and Evolutionary Computation Conference (GECCO 2016) (20 Jul 2016 - 24 Jul 2016 : Denver, Colorado, USA)
2013Weighted preferences in evolutionary multi-objective optimizationFriedrich, T.; Kroeger, T.; Neumann, F.
2012Convergence of set-based multi-objective optimization, indicators and deteriorative cyclesBerghammer, R.; Friedrich, T.; Neumann, F.
2011Illustration of fairness in evolutionary multi-objective optimizationFriedrich, T.; Horoba, C.; Neumann, F.
2013Predicting the energy output of wind farms based on weather data: important variables and their correlationVladislavleva, E.; Friedrich, T.; Neumann, F.; Wagner, M.
2010Set-based multi-objective optimization, indicators, and deteriorative cyclesBerghammer, R.; Friedrich, T.; Neumann, F.; Pelikan, M.; Branke, J.; Genetic and Evolutionary Computation Conference (12th : 2010 : Portland, Oregon)