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PreviewIssue DateTitleAuthor(s)
2009Analysis of different MMAS ACO algorithms on unimodal functions and plateausNeumann, F.; Sudholt, D.; Witt, C.
2013More effective crossover operators for the all-pairs shortest path problemDoerr, B.; Johannsen, D.; Kotzing, T.; Neumann, F.; Theile, M.
2011Computational complexity analysis of simple genetic programming on two problems modeling isolated program semanticsDurrett, G.; Neumann, F.; O'Reilly, U.; ACM SIGEVO Workshop on Foundations of Genetic Algorithms (11th : 2011 : Schwarzenberg, Austria)
2013Single- and multi-objective genetic programming: new bounds for weighted order and majorityNguyen, A.; Urli, T.; Wagner, M.; Neumann, F.; Jong, K.A.D.; Workshop on Foundations of Genetic Algorithms (12th : 2013 : Adelaide, Australia)
2013Population size matters: rigorous runtime results for maximizing the hypervolume indicatorNguyen, A.; Sutton, A.; Neumann, F.; Blum, C.; Conference on Genetic and Evolutionary Computation (15th : 2013 : Amsterdam)
2010A few ants are enough: ACO with iteration-best updateNeumann, F.; Sudholt, D.; Witt, C.; Pelikan, M.; Branke, J.; Genetic and Evolutionary Computation Conference (12th : 2010 : Portland, Oregon)
2009Computing single source shortest paths using single-objective fitness functionsBaswana, S.; Biswas, S.; Doerr, B.; Friedrich, T.; Kurur, P.; Neumann, F.; Garibay, I.I.; Jansen, T.; Wiegand, R.P.; Wu, A.S.; ACM SIGEVO Workshop on Foundations of Genetic Algorithms (10th : 2009 : Orlando, Florida)
2009Additive approximations of Pareto-optimal sets by evolutionary multi-objective algorithmsHoroba, C.; Neumann, F.; Garibay, I.I.; Jansen, T.; Wiegand, R.P.; Wu, A.S.; ACM SIGEVO Workshop on Foundations of Genetic Algorithms (10th : 2009 : Orlando, Florida)
2009Theoretical analysis of fitness-proportional selection: landscapes and efficiencyNeumann, F.; Oliveto, P.; Witt, C.; Rothlauf, F.; Genetic and Evolutionary Computation Conference (11th : 2009 : Montreal, Canada)

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