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Showing results 2517 to 2536 of 3138
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Issue Date
Title
Author(s)
2022
Run-of-mine stockyard recovery scheduling and optimisation for multiple reclaimers
Assimi, H.
;
Koch, B.
;
Garcia, C.
;
Wagner, M.
;
Neumann, F.
;
Hong, J.
;
Bures, M.
;
Park, J.W.
;
Cerný, T.
;
ACM/SIGAPP Symposium on Applied Computing (SAC) (25 Apr 2022 - 29 Apr 2022 : virtual online)
2021
Run-time monitoring of machine learning for robotic perception: a survey of emerging trends
Rahman, Q.M.
;
Corke, P.
;
Dayoub, F.
2008
Runtime analyses for using fairness in evolutionary multi-objective optimization
Friedrich, T.
;
Horoba, C.
;
Neumann, F.
;
Rudolph, G.
;
Jansen, T.
;
Lucas, S.M.
;
Poloni, C.
;
Beume, N.
;
Conference on Parallel Problem Solving from Nature (10th : 2008 : Dortmund, Germany)
2014
Runtime analysis for maximizing population diversity in single-objective optimization
Gao, W.
;
Neumann, F.
;
Igel, C.
;
2014 Annual Conference on Genetic and Evolutionary Computation (GECCO'14) (12 Jul 2014 - 16 Jul 2014 : Vancouver, Canada)
2009
Runtime analysis of a simple ant colony optimization algorithm
Neumann, F.
;
Witt, C.
2019
Runtime analysis of evolutionary algorithms for the depth restricted (1,2)-minimum spanning tree problem
Shi, F.
;
Neumann, F.
;
Wang, J.
;
Friedrich, T.
;
Doerr, C.
;
Arnold, D.V.
;
Foundations of Genetic Algorithms (FOGA) (27 Aug 2019 - 29 Aug 2019 : Potsdam, Germany)
2018
Runtime analysis of evolutionary algorithms for the knapsack problem with favorably correlated weights
Neumann, F.
;
Sutton, A.
;
Auger, A.
;
Fonseca, C.
;
Lourenco, N.
;
Machado, P.
;
Paquete, L.
;
Whitley, D.
;
International Conference on Parallel Problem Solving from Nature (PPSN) (8 Sep 2018 - 12 Sep 2018 : Coimbra, Portugal)
2014
Runtime analysis of evolutionary algorithms on randomly constructed high-density satisfiable 3-CNF formulas
Sutton, A.
;
Neumann, F.
;
BartzBeielstein, T.
;
Branke, J.
;
Filipic, B.
;
Smith, J.
;
13th International Conference on Parallel Problem Solving from Nature (PPSN XIII) (13 Sep 2014 - 17 Sep 2014 : Ljubljana, Slovenia)
2020
Runtime analysis of evolutionary algorithms with biased mutation for the multi-objective minimum spanning tree problem
Roostapour, V.
;
Bossek, J.
;
Neumann, F.
;
Genetic and Evolutionary Computation Conference (GECCO) (8 Jul 2020 - 18 Jul 2020 : Cancun, Mexico)
2016
Runtime analysis of evolutionary diversity maximization for OneMinMax
Doerr, B.
;
Gao, W.
;
Neumann, F.
;
Friedrich, T.
;
Neumann, F.
;
Sutton, A.M.
;
2016 Genetic and Evolutionary Computation Conference (GECCO 2016) (20 Jul 2016 - 24 Jul 2016 : Denver, Colorado, USA)
2015
Runtime analysis of evolutionary diversity optimization and the vertex cover problem
Gao, W.
;
Pourhassan, M.
;
Neumann, F.
;
Silva, S.
;
Esparcia-Alcázar, A.
;
Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (GECCO Companion '15) (11 Jul 2015 - 15 Jul 2015 : Madrid, Spain)
2019
Runtime analysis of evolutionary multi-objective algorithms optimising the degree and diameter of spanning trees
Gao, W.
;
Pourhassan, M.
;
Roostapour, V.
;
Neumann, F.
;
Deb, K.
;
Goodman, E.D.
;
Coello, C.A.C.
;
Klamroth, K.
;
Miettinen, K.
;
Mostaghim, S.
;
Reed, P.M.
;
10th International Conference on Evolutionary Multi-Criterion Optimization (EMO) (10 Mar 2019 - 13 Mar 2019 : East Lansing, USA)
2019
Runtime analysis of randomized search heuristics for dynamic graph coloring
Bossek, J.
;
Neumann, F.
;
Peng, P.
;
Sudholt, D.
;
LopezIbanez, M.
;
Genetic and Evolutionary Computation Conference (GECCO) (13 Jul 2019 - 17 Jul 2019 : Prague, Czech Republic)
2018
Runtime analysis of randomized search heuristics for the dynamic weighted vertex cover problem
Shi, F.
;
Neumann, F.
;
Wang, J.
;
Aguirre, H.E.
;
Takadama, K.
;
Genetic and Evolutionary Computation Conference (GECCO) (15 Jul 2018 - 19 Jul 2018 : Kyoto, Japan)
2020
Runtime analysis of RLS and (1+1) EA for the dynamic weighted vertex cover problem
Pourhassan, M.
;
Roostapour, V.
;
Neumann, F.
2022
Runtime Analysis of Simple Evolutionary Algorithms for the Chance-Constrained Makespan Scheduling Problem
Shi, F.
;
Yan, X.
;
Neumann, F.
;
Rudolph, G.
;
Kononova, A.V.
;
Aguirre, H.
;
Kerschke, P.
;
Ochoa, G.
;
Tusar, T.
;
International Conference on Parallel Problem Solving from Nature (PPSN) (10 Sep 2022 - 14 Sep 2022 : Dortmund, Germany)
2022
Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions
Neumann, F.
;
Witt, C.
;
Rudolph, G.
;
Kononova, A.V.
;
Aguirre, H.
;
Kerschke, P.
;
Ochoa, G.
;
Tusar, T.
;
International Conference on Parallel Problem Solving from Nature (PPSN) (10 Sep 2022 - 14 Sep 2022 : Dortmund, Germany)
2019
Runtime analysis of the (1+1) evolutionary algorithm for the chance-constrained knapsack problem
Neumann, F.
;
Sutton, A.M.
;
Friedrich, T.
;
Doerr, C.
;
Arnold, D.V.
;
Foundations of Genetic Algorithms (FOGA) (27 Aug 2019 - 29 Aug 2019 : Potsdam, Germany)
2011
Runtime analysis of the 1-ANT ant colony optimizer
Doerr, B.
;
Neumann, F.
;
Sudholt, D.
;
Witt, C.
2007
RWA of hypercube communications embedded on a family of optical double-loop networks
Chen, Y.
;
Shen, H.
;
John Asenstorfer,
;
IEEE International Conference on Networks (15th : 2007 : Adelaide, Australia)