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ORCIDChristian Thyssen
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- affiliation (former): TU Dortmund, Germany
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2010 – 2019
- 2015
[j6]Tobias Friedrich, Frank Neumann
, Christian Thyssen:
Multiplicative Approximations, Optimal Hypervolume Distributions, and the Choice of the Reference Point. Evol. Comput. 23(1): 131-159 (2015)- 2013
- [i2]Benjamin Doerr, Anton V. Eremeev, Frank Neumann, Madeleine Theile, Christian Thyssen:
Evolutionary Algorithms and Dynamic Programming. CoRR abs/1301.4096 (2013) - [i1]Tobias Friedrich, Frank Neumann, Christian Thyssen:
Multiplicative Approximations, Optimal Hypervolume Distributions, and the Choice of the Reference Point. CoRR abs/1309.3816 (2013) - 2012
- [j5]Dirk Sudholt, Christian Thyssen:
A Simple Ant Colony Optimizer for Stochastic Shortest Path Problems. Algorithmica 64(4): 643-672 (2012) - [j4]Dirk Sudholt, Christian Thyssen:
Running time analysis of Ant Colony Optimization for shortest path problems. J. Discrete Algorithms 10: 165-180 (2012) - 2011
- [j3]Tobias Friedrich, Christian Horoba, Frank Neumann:
Illustration of fairness in evolutionary multi-objective optimization. Theor. Comput. Sci. 412(17): 1546-1556 (2011) - [j2]Benjamin Doerr, Anton V. Eremeev, Frank Neumann, Madeleine Theile, Christian Thyssen:
Evolutionary algorithms and dynamic programming. Theor. Comput. Sci. 412(43): 6020-6035 (2011) - 2010
- [b1]Christian Thyssen:
Zur Analyse der Optimierungszeit randomisierter Suchheuristiken für kombinatorische Probleme. Dortmund University of Technology, 2010 - [j1]Christian Horoba:
Exploring the Runtime of an Evolutionary Algorithm for the Multi-Objective Shortest Path Problem. Evol. Comput. 18(3): 357-381 (2010) - [c9]Christian Horoba, Dirk Sudholt:
Ant colony optimization for stochastic shortest path problems. GECCO 2010: 1465-1472 - [p1]Christian Horoba, Frank Neumann:
Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization. Advances in Multi-Objective Nature Inspired Computing 2010: 23-44
2000 – 2009
- 2009
- [c8]Christian Horoba, Frank Neumann:
Additive approximations of pareto-optimal sets by evolutionary multi-objective algorithms. FOGA 2009: 79-86 - [c7]Christian Horoba:
Analysis of a simple evolutionary algorithm for the multiobjective shortest path problem. FOGA 2009: 113-120 - [c6]Tobias Friedrich, Christian Horoba, Frank Neumann:
Multiplicative approximations and the hypervolume indicator. GECCO 2009: 571-578 - [c5]Benjamin Doerr, Anton V. Eremeev, Christian Horoba, Frank Neumann, Madeleine Theile:
Evolutionary algorithms and dynamic programming. GECCO 2009: 771-778 - [c4]Christian Horoba, Thomas Jansen, Christine Zarges:
Maximal age in randomized search heuristics with aging. GECCO 2009: 803-810 - [c3]Christian Horoba, Dirk Sudholt:
Running Time Analysis of ACO Systems for Shortest Path Problems. SLS 2009: 76-91 - 2008
- [c2]Christian Horoba, Frank Neumann:
Benefits and drawbacks for the use of epsilon-dominance in evolutionary multi-objective optimization. GECCO 2008: 641-648 - [c1]Tobias Friedrich, Christian Horoba, Frank Neumann:
Runtime Analyses for Using Fairness in Evolutionary Multi-Objective Optimization. PPSN 2008: 671-680
Coauthor Index
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