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PreviewIssue DateTitleAuthor(s)
2011Simple max-min ant systems and the optimization of linear pseudo-boolean functionsKötzing, T.; Neumann, F.; Sudholt, D.; Wagner, M.; ACM SIGEVO Workshop on Foundations of Genetic Algorithms (5 Jan 2011 - 9 Jan 2011 : Schwarzenberg, Austria)
2017Analysis of the (1+1) EA on subclasses of linear functions under uniform and linear constraintsFriedrich, T.; Kötzing, T.; Lagodzinski, G.; Neumann, F.; Schirneck, M.; Igel, C.; Sudholt, D.; Witt, C.; ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA) (12 Jan 2017 - 15 Jan 2017 : Copenhagen, Denmark)
2014A fixed budget analysis of randomized search heuristics for the traveling salesperson problemNallaperuma, S.; Neumann, F.; Sudholt, D.; Igel, C.; 2014 Annual Conference on Genetic and Evolutionary Computation (GECCO'14) (12 Jul 2014 - 16 Jul 2014 : Vancouver, Canada)
2019Runtime analysis of randomized search heuristics for dynamic graph coloringBossek, J.; Neumann, F.; Peng, P.; Sudholt, D.; LopezIbanez, M.; Genetic and Evolutionary Computation Conference (GECCO) (13 Jul 2019 - 17 Jul 2019 : Prague, Czech Republic)
2017Speeding up evolutionary multi-objective optimisation through diversity-based parent selectionOsuna, E.; Neumann, F.; Gao, W.; Sudholt, D.; Bosman, P.A.N.; Genetic and Evolutionary Computation Conference (GECCO) (15 Jul 2017 - 19 Jul 2017 : Berlin, Germany)
2011Runtime analysis of the 1-ANT ant colony optimizerDoerr, B.; Neumann, F.; Sudholt, D.; Witt, C.
2017Expected Fitness Gains of Randomized Search Heuristics for the Traveling Salesperson ProblemNallaperuma, S.; Neumann, F.; Sudholt, D.
2018Design and analysis of diversity-based parent selection schemes for speeding up evolutionary multi-objective optimisationCovantes Osuna, E.; Gao, W.; Neumann, F.; Sudholt, D.
2011On the effectiveness of crossover for migration in parallel evolutionary algorithmsNeumann, F.; Oliveto, P.; Rudolph, G.; Sudholt, D.; Krasnogor, N.; Genetic and Evolutionary Computation Conference (13th : 2011 : Dublin, Ireland)
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)