Christine Zarges

Lecturer

Contact Details

Room Number..........:  E38
Building....................:  Llandinam
Phone.......................:   +44 (0)1970 622452
E-Mail........................:   chz8

Research Groups

Teaching Areas

Modules Taught

  • CC21120: Dylunio Rhaglen, Strwythurau Data a Algorithmau
  • CS21120: Program Design, Data Structures and Algorithms

Publications

2017

Chelly Dagdia, Z., Zarges, C., Beck, G., Lebbah, M. 2017 (In press). A Distributed Rough Set Theory based Algorithm for an Efficient Big Data Pre-processing under the Spark Framework. 2017 IEEE International Conference on Big Data(BigData 2017).

Lissovoi, A., Sudholt, D., Wagner, M., Zarges, C. 2017. Theoretical results on bet-and-run as an initialisation strategy. In P. A. N. Bosman. (ed) GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). GECCO 2017. Association for Computing Machinery, New York pp. 857-864. 10.1145/3071178.3071329 Cadair

Corus, D., He, J., Jansen, T., Oliveto, P.S., Sudholt, D., Zarges, C. 2017. On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation. Algorithmica 78 (2) pp. 714–740. 10.1007/s00453-016-0201-4 Cadair

Zamuda, A., Zarges, C., Stiglic, G., Hrovat, G. 2017 (In press). Stability Selection using a Genetic Algorithm and Logistic Linear Regression on Healthcare Records. GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2017. Association for Computing Machinery, New York pp. 143-144. 10.1145/3067695.3076077 Cadair

2016

Doerr, B., Jansen, T., Zarges, C. 2016. Artificial Immune Systems can Beat Evolutionary Algorithms in Combinatorial Optimisation. Proceedings of the 18th Genetic and Evolutionary Computation Conference (GECCO 2016). Genetic and Evolutionary Computation Conference (GECCO 2106). Cadair

Jansen, T., Zarges, C. 2016. Example Landscapes to Support Analysis of Multimodal Optimisation. In J. Handl., E. Hart., P. R. Lewis., M. López-Ibáñez., G. Ochoa., B. Paechter. (eds) Proceedings 14th International Conference, Edinburgh UK, September 17-21, 2016. Lecture Notes in Computer Science, vol. 9921 Springer Nature pp. 792-802. Cadair

2015

Jansen, T., Zarges, C. 2015. Analysis of Randomised Search Heuristics for Dynamic Optimisation. Evolutionary Computation 23 (4) pp. 513-541. 10.1162/EVCO_a_00164 Cadair

Oliveto, P.S., Zarges, C. 2015. Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of change. Theoretical Computer Science 561 pp. 37-56. 10.1016/j.tcs.2014.10.028 Cadair

He, J., Jansen, T., Ochoa, G., Zarges, C. 2015. Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII. Association for Computing Machinery Cadair

Corus, D., He, J., Jansen, T., Oliveto, P., Sudholt, D., Zarges, C. 2015. On easiest functions for somatic contiguous hypermutations and standard bit mutations. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015). Association for Computing Machinery, New York pp. 1399-1406. Cadair

Joshi, A., Rowe, J.E., Zarges, C. 2015. Improving the performance of the Germinal center artificial immune system using ɛ-dominance: a multi-objective knapsack problem case study. In G. Ochoa., F. Chicano. (eds) Evolutionary Computation in Combinatorial Optimization: 15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Springer Nature pp. 114-125. 10.1007/978-3-319-16468-7_10 Cadair

2014

Jansen, T., Zarges, C. 2014. Reevaluating Immune-Inspired Hypermutations Using the Fixed Budget Perspective. IEEE Transactions on Evolutionary Computation 18 (5) pp. 674-688. 10.1109/TEVC.2014.2349160 Cadair

Jansen, T., Zarges, C. 2014. Performance analysis of randomised search heuristics operating with a fixed budget. Theoretical Computer Science 545 pp. 39-58. 10.1016/j.tcs.2013.06.007 Cadair

Jansen, T., Zarges, C. 2014. Artificial immune systems for optimisation. GECCO 2014 - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference. Association for Computing Machinery pp. 749-764. 10.1145/2598394.2605357 Cadair

Jansen, T., Zarges, C. 2014. Evolutionary algorithms and artificial immune systems on a bi-stable dynamic optimisation problem. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014). GECCO '14 Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation. Association for Computing Machinery, New York pp. 975-982. 10.1145/2576768.2598344 Cadair

Oliveto, P.S., Sudholt, D., Zarges, C. 2014. On the runtime analysis of fitness sharing mechanisms. In T. Bartz-Beielstein., J. Branke., B. Filipič., J. Smith. (eds) Parallel Problem Solving from Nature – PPSN XIII. Lecture Notes in Computer Science Springer Nature pp. 932-941. 10.1007/978-3-319-10762-2_92 Cadair

Jansen, T., Zarges, C. 2014. Understanding randomised search heuristics lessons from the evolution of theory: A case study. In M. Radek. (ed) Proceedings of the 20th International Conference on Soft Computing (MENDEL 2014). Brno University of Technology pp. 293-298. Cadair

Joshi, A., Rowe, J.E., Zarges, C. 2014. An immune-inspired algorithm for the set cover problem. In T. Bartz-Beielstein., J. Branke., B. Filipič., J. Smith. (eds) Parallel Problem Solving from Nature. Lecture Notes in Computer Science Springer Nature pp. 243-251. 10.1007/978-3-319-10762-2_24 Cadair

2013

Doerr, B., Jansen, T., Sudholt, D., Winzen, C., Zarges, C. 2013. Mutation Rate Matters Even When Optimizing Monotonic Functions. Evolutionary Computation 21 (1) pp. 1-27. 10.1162/EVCO_a_00055 Cadair

2012

Jansen, T., Zarges, C. 2012. Fixed budget computations: a different perspective on run time analysis. In T. Soule. (ed) GECCO '12 Proceedings of the 14th annual conference on Genetic and evolutionary computation. Association for Computing Machinery pp. 1325-1332. 10.1145/2330163.2330347 Cadair

2011

Jansen, T., Zarges, C. 2011. On the role of age diversity for effective aging operators. Evolutionary Intelligence 4 (2) pp. 99-125. 10.1007/s12065-011-0051-6 Cadair

Jansen, T., Zarges, C. 2011. Analyzing different variants of immune inspired somatic contiguous hypermutations. Theoretical Computer Science 412 (6) pp. 517-533. 10.1016/j.tcs.2010.09.027 Cadair

Jansen, T., Zarges, C. 2011. On benefits and drawbacks of aging strategies for randomized search heuristics. Theoretical Computer Science 412 (6) pp. 543-559. 10.1016/j.tcs.2010.03.032 Cadair