Thomas Jansen

Senior Lecturer

Contact Details

Room Number..........:  E45
Building....................:  Llandinam
Phone.......................:   +44 (0)1970 622445
E-Mail........................:   thj10
Home Page...............:   Personal

External Publication Websites:
DBLP
Google Scholar
ResearchGate

Research Groups

Teaching Areas

Modules Taught

  • CS10720: Problems and Solutions
  • CSM6120: Fundamentals of Intelligent Systems
  • CSM6320: Representation and Reasoning for Intelligent Systems
  • SEM6120: Fundamentals of Intelligent Systems
  • SEM6420: Machine Learning for Intelligent Systems

Publications

Populations can be essential in tracking dynamic optimaDang, D-C., Jansen, T. & Lehre, P-K. 2017 In : Algorithmica.
On Easiest Functions for Mutation Operators in Bio-Inspired OptimisationCorus, D., He, J., Jansen, T., Oliveto, P. S., Sudholt, D. & Zarges, C. 2017 In : Algorithmica.78, 2, p. 714–740
Example Landscapes to Support Analysis of Multimodal OptimisationJansen, T. & Zarges, C. 2016 Proceedings 14th International Conference, Edinburgh UK, September 17-21, 2016. Handl, J., Hart, E., Lewis, P. R., López-Ibáñez , M., Ochoa, G. & Paechter, B. (eds.). Springer Nature, p. 792-802 (Lecture Notes in Computer Science; vol. 9921)
Analysis of Randomised Search Heuristics for Dynamic OptimisationJansen, T. & Zarges, C. 2015 In : Evolutionary Computation.23, 4, p. 513-54129 p.
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIIIHe, J. (ed.), Jansen, T. (ed.), Ochoa, G. (ed.) & Zarges, C. (ed.) 2015 Association for Computing Machinery.
On the black-box complexity of example functions: The Real Jump functionJansen, T. 2015 13th ACM SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA 2015). New York: Association for Computing Machinery, p. 16-24
On easiest functions for somatic contiguous hypermutations and standard bit mutationsCorus, D., He, J., Jansen, T., Oliveto, P., Sudholt, D. & Zarges, C. 2015 Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015). New York: Association for Computing Machinery, p. 1399-1406
Populations can be essential in dynamic optimisationDang, D-C., Jansen, T. & Lehre, P-K. 2015 Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015). New York: Association for Computing Machinery, p. 1407-1414
Reevaluating Immune-Inspired Hypermutations Using the Fixed Budget PerspectiveJansen, T. & Zarges, C. 2014 In : IEEE Transactions on Evolutionary Computation.18, 5, p. 674-68815 p.
Performance analysis of randomised search heuristics operating with a fixed budgetJansen, T. & Zarges, C. 2014 In : Theoretical Computer Science.545, p. 39-5820 p.
Transforming Evolutionary Search Into Higher-Level Evolutionary Search by Capturing Problem StructureMills, R., Jansen, T. & Watson, R. 2014 In : IEEE Transactions on Evolutionary Computation.18, 5, p. 628-64215 p.
Artificial immune systems for optimisationJansen, T. & Zarges, C. 2014 GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference.Association for Computing Machinery, p. 749-76416 p.
Evolutionary algorithms and artificial immune systems on a bi-stable dynamic optimisation problemJansen, T. & Zarges, C. 2014 Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014). New York: Association for Computing Machinery, p. 975-982
Understanding randomised search heuristics lessons from the evolution of theory: A case studyJansen, T. & Zarges, C. 2014 Proceedings of the 20th International Conference on Soft Computing (MENDEL 2014). Radek, M. (ed.). Brno University of Technology, p. 293-2986 p.
Mutation Rate Matters Even When Optimizing Monotonic FunctionsDoerr, B., Jansen, T., Sudholt, D., Winzen, C. & Zarges, C. 2013 In : Evolutionary Computation.21, 1, p. 1-27
Fixed budget computations: a different perspective on run time analysisJansen, T. & Zarges, C. 2012 GECCO '12 Proceedings of the 14th annual conference on Genetic and evolutionary computation. Soule, T. (ed.). Association for Computing Machinery, p. 1325-13328 p.
On the role of age diversity for effective aging operatorsJansen, T. & Zarges, C. 2011 In : Evolutionary Intelligence.4, 2, p. 99-12527 p.
Analyzing different variants of immune inspired somatic contiguous hypermutationsJansen, T. & Zarges, C. 2011 In : Theoretical Computer Science.412, 6, p. 517-53317 p.
On benefits and drawbacks of aging strategies for randomized search heuristicsJansen, T. & Zarges, C. 2011 In : Theoretical Computer Science.412, 6, p. 543-55917 p.
Stability in the Self-Organized Evolution of NetworksTheile, M. & Jansen, T. 2010 In : Algorithmica.57, 1, p. 147-16923 p.
Analysis of an Asymmetric Mutation OperatorJansen, T. & Sudholt, D. 2010 In : Evolutionary Computation.18, 1, p. 1-2626 p.