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Christian Gießen
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2010 – 2019
- 2019
- [j4]Benjamin Doerr, Christian Gießen, Carsten Witt, Jing Yang:
The (1+λ) Evolutionary Algorithm with Self-Adjusting Mutation Rate. Algorithmica 81(2): 593-631 (2019) - 2018
- [b1]Christian Gießen:
The Impact of Parametrization on Randomized Search Heuristics. Technical University of Denmark, 2018 - [j3]Christian Gießen, Carsten Witt:
Optimal Mutation Rates for the (1+λ) EA on OneMax Through Asymptotically Tight Drift Analysis. Algorithmica 80(5): 1710-1731 (2018) - 2017
- [j2]Christian Gießen, Carsten Witt:
The Interplay of Population Size and Mutation Probability in the (1+λ) EA on OneMax. Algorithmica 78(2): 587-609 (2017) - [c5]Benjamin Doerr, Christian Gießen, Carsten Witt, Jing Yang:
The (1+λ) evolutionary algorithm with self-adjusting mutation rate. GECCO 2017: 1351-1358 - [i1]Benjamin Doerr, Christian Gießen, Carsten Witt, Jing Yang:
The (1+λ) Evolutionary Algorithm with Self-Adjusting Mutation Rate. CoRR abs/1704.02191 (2017) - 2016
- [j1]Christian Gießen, Timo Kötzing:
Robustness of Populations in Stochastic Environments. Algorithmica 75(3): 462-489 (2016) - [c4]Christian Gießen, Carsten Witt:
Optimal Mutation Rates for the (1+λ) EA on OneMax. GECCO 2016: 1147-1154 - 2015
- [c3]Christian Gießen, Carsten Witt:
Population Size vs. Mutation Strength for the (1+λ) EA on OneMax. GECCO 2015: 1439-1446 - 2014
- [c2]Christian Gießen, Timo Kötzing:
Robustness of populations in stochastic environments. GECCO 2014: 1383-1390 - 2013
- [c1]Christian Gießen:
Hybridizing evolutionary algorithms with opportunistic local search. GECCO 2013: 797-804
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