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Computing single source shortest paths using single-objective fitness
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ACM, New York
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Speeding up evolutionary algorithms through restricted mutation operators
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Adaptive drift analysis
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Doerr, B., Goldberg, L.A.: Adaptive drift analysis. In: Proceedings of PPSN XI. Springer, Heidelberg (to appear, 2010)
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A tight bound for the (1+1)-EA on the single-source shortest path problem
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IEEE, Los Alamitos
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Doerr, B., Happ, E., Klein, C.: A tight bound for the (1+1)-EA on the single-source shortest path problem. In: Proceedings of CEC 2007, pp. 1890-1895. IEEE, Los Alamitos (2007)
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Adjacency list matchings - An ideal genotype for cycle covers
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ACM, New York
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Doerr, B., Johannsen, D.: Adjacency list matchings - an ideal genotype for cycle covers. In: Proceedings of GECCO 2007, pp. 1203-1210. ACM, New York (2007)
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Edge-based representation beats vertex-based representation in shortest path problems
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ACM, New York to appear
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Doerr, B., Johannsen, D.: Edge-based representation beats vertex-based representation in shortest path problems. In: Proceedings of GECCO 2010. ACM, New York (to appear, 2010)
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Drift analysis and linear functions revisited
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IEEE, Los Alamitos to appear
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Doerr, B., Johannsen, D., Winzen, C.: Drift analysis and linear functions revisited. In: Proceedings of CEC 2010. IEEE, Los Alamitos (to appear, 2010)
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Multiplicative drift analysis
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ACM, New York to appear
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Doerr, B., Johannsen, D., Winzen, C.: Multiplicative drift analysis. In: Proceedings of GECCO 2010. ACM, New York (to appear, 2010)
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Faster evolutionary algorithms by superior graph representation
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IEEE, Los Alamitos
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Doerr, B., Klein, C., Storch, T.: Faster evolutionary algorithms by superior graph representation. In: Proceedings of FOCI 2007, pp. 245-250. IEEE, Los Alamitos (2007)
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On the analysis of the (1+1) evolutionary algorithm
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Droste, S., Jansen, T., Wegener, I.: On the analysis of the (1+1) evolutionary algorithm. Theoretical Computer Science 276, 51-81 (2002)
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Random walks on combinatorial objects
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University Press
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Evolutionary Algorithms and the Maximum Matching Problem
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Giel, O., Wegener, I.: Evolutionary algorithms and the maximum matching problem. In: Alt, H., Habib, M. (eds.) STACS 2003. LNCS, vol. 2607, pp. 415-426. Springer, Heidelberg (2003) (Pubitemid 36309294)
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On the effect of populations in evolutionary multi-objective optimization
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ACM, New York
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Giel, O., Lehre, P.K.: On the effect of populations in evolutionary multi-objective optimization. In: Proceedings of GECCO 2006, pp. 651-658. ACM, New York (2006)
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Hitting-time and occupation-time bounds implied by drift analysis with applications
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Rigorous analyses of fitness-proportional selection for optimizing linear functions
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ACM, New York
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Happ, E., Johannsen, D., Klein, C., Neumann, F.: Rigorous analyses of fitness-proportional selection for optimizing linear functions. In: Proceedings of GECCO 2008, pp. 953-960. ACM, New York (2008)
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Drift analysis and average time complexity of evolutionary algorithms
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A study of drift analysis for estimating computation time of evolutionary algorithms
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Über die Möglichkeit, einen Linenzug ohne Wiederholung und ohne Unterbrechung zu umfahren
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Expected runtimes of evolutionary algorithms for the Eulerian cycle problem
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IEEE, Los Alamitos
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Neumann, F.: Expected runtimes of evolutionary algorithms for the Eulerian cycle problem. In: Proceedings of CEC 2004, pp. 904-910. IEEE, Los Alamitos (2004)
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Theoretical analysis of fitness-proportional selection: Landscapes and efficiency
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ACM, New York
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Neumann, F., Oliveto, P.S., Witt, C.: Theoretical analysis of fitness-proportional selection: landscapes and efficiency. In: Proceedings of GECCO 2009, pp. 835-842. ACM, New York (2009)
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Simplified drift analysis for proving lower bounds in evolutionary computation
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Evolutionary algorithms and matroid optimization problems
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