Dr Thomas Jansen

Dr Thomas Jansen


Head of Department (Computer Science)

Department of Computer Science

Contact Details

Research Groups


Jansen, T & Zarges, C 2024, Experimental and Theoretical Analysis of Local Search Optimising OBDD Variable Orderings. in T Stützle & M Wagner (eds), Evolutionary Computation in Combinatorial Optimization: 24th European Conference, EvoCOP 2024; Held as Part of EvoStar 2024; Aberystwyth, UK, April 3–5, 2024, Proceedings. Lecture Notes in Computer Science, vol. 14632, Springer Nature, pp. 177-192, 24th European Conference on Evolutionary Computation in Combinatorial Optimisation, Aberystwyth, United Kingdom of Great Britain and Northern Ireland, 03 Apr 2024. 10.1007/978-3-031-57712-3_12
Jansen, T 2019, Analysing Stochastic Search Heuristics Operating on a Fixed Budget. in B Doerr & F Neumann (eds), Theory of Evolutionary Computation. Natural Computing Series, Springer Nature, pp. 249-270. 10.1007/978-3-030-29414-4_5
He, J, Jansen, T & Zarges, C 2019, Unlimited Budget Analysis. in GECCO 2019 Companion: Proceedings of the 2019 Genetic and Evolutionary Computation Conference. Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, pp. 427-428, GECCO 2019: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13 Jul 2019. 10.1145/3319619.3322009
Jansen, T & Zarges, C 2018, Theoretical Analysis of Lexicase Selection in Multi-Objective Optimization. in A Auger, CM Fonseca, N Lourenço, P Machado, L Paquete & D Whitley (eds), Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part II. Theoretical Computer Science and General Issues, vol. 11102, Springer Nature, pp. 153-164, Parallel Problem Solving from Nature, Coimbra, Portugal, 08 Sept 2018.
Corus, D, He, J, Jansen, T, Oliveto, PS, Sudholt, D & Zarges, C 2017, 'On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation', Algorithmica, vol. 78, no. 2, pp. 714–740. 10.1007/s00453-016-0201-4
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