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Results 1-10 of 11 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2007Comparing Variants of MMAS ACO Algorithms on Pseudo-Boolean FunctionsNeumann, F.; Sudholt, D.; Witt, C.; Stutzle, T.; Birattari, M.; Hoos, H.H.; International Workshop on Engineering Stochastic Local Search Algorithms (2007 : Brussels, Belgium)
2008Rigorous analyses for the combination of ant colony optimization and local searchNeumann, F.; Sudholt, D.; Witt, C.; Dorigo, M.; Birattari, M.; Blum, C.; Clerc, M.; Stutzle, T.; Winfield, A.F.T.; International Conference on Ant Colony Optimization and Swarm Intelligence (6th : 2008 : Brussels, Belgium)
2008Ant colony optimization and the minimum spanning tree problemNeumann, F.; Witt, C.; Maniezzo, V.; Battiti, R.; Watson, J.P.; Learning and Intelligent OptimizatioN Conference (2nd : 2007 : Trento, Italy)
2009Runtime analysis of a simple ant colony optimization algorithmNeumann, F.; Witt, C.
2009Analysis of different MMAS ACO algorithms on unimodal functions and plateausNeumann, F.; Sudholt, D.; Witt, C.
2009Analyses of simple hybrid algorithms for the vertex cover problemFriedrich, T.; He, J.; Hebbinghaus, N.; Neumann, F.; Witt, C.
2007Approximating covering problems by randomized search heuristics using multi-objective modelsFriedrich, T.; He, J.; Hebbinghaus, N.; Neumann, F.; Witt, C.; Genetic and Evolutionary Computation Conference (9th : 2007 : London, England)
2007On the Runtime Analysis of the 1-ANT ACO AlgorithmDoerr, B.; Neumann, F.; Sudholt, D.; Witt, C.; Lipson, H.; Genetic and Evolutionary Computation Conference (9th : 2007 : London, England)
2009Computational complexity of ant colony optimization and its hybridization with local searchNeumann, F.; Sudholt, D.; Witt, C.; Lim, C.; Jain, L.; Dehuri, S.
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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