Items where authors include "Nallaperuma, S."

Article

Nallaperuma, S., Fletcher, D. orcid.org/0000-0002-1562-4655 and Harrison, R. (2021) Optimal control and energy storage for DC electric train systems using evolutionary algorithms. Railway Engineering Science, 29 (4). pp. 327-335. ISSN 2662-4745

Fletcher, D.I. orcid.org/0000-0002-1562-4655, Harrison, R.F. and Nallaperuma, S. (2020) TransEnergy - a tool for energy storage optimization, peak power and energy consumption reduction in DC electric railway systems. Journal of Energy Storage, 30. 101425. ISSN 2352-152X

Nallaperuma, S., Oliveto, P.S., Perez Heredia, J. et al. (1 more author) (2019) On the Analysis of Trajectory-Based Search Algorithms: When is it Beneficial to Reject Improvements? Algorithmica, 81 (2). pp. 858-885. ISSN 0178-4617

Nallaperuma, S., Neumann, F. and Sudholt, D. orcid.org/0000-0001-6020-1646 (2016) Expected Fitness Gains of Randomized Search Heuristics for the Traveling Salesperson Problem. Evolutionary Computation. ISSN 1063-6560

Proceedings Paper

Fletcher, D. orcid.org/0000-0002-1562-4655, Harrison, R. orcid.org/0000-0002-9323-8637, Karmakharm, T. et al. (2 more authors) (2018) RateSetter: roadmap for faster, safer, and better platform train interface design and operation using evolutionary optimisation. In: Aguirre, H.E. and Takadama, K., (eds.) GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '18: Genetic and Evolutionary Computation Conference, 15-19 Jul 2018, Kyoto, Japan. Association for Computing Machinery , pp. 1230-1237. ISBN 9781450356183

Nallaperuma, S., Oliveto, P.S., Perez Heredia, J. et al. (1 more author) (2017) When is it Beneficial to Reject Improvements? In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 17). Genetic and Evolutionary Computation Conference (GECCO 17), 15/07/2017 - 19/07/2017, Berlin. ACM , pp. 1391-1398.