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Number of items: 9.

Article

Lissovoi, A., Oliveto, P. and Warwicker, J.A. (2019) Simple hyper-heuristics control the neighbourhood size of randomised local search optimally for LeadingOnes. Evolutionary Computation. ISSN 1063-6560

Lissovoi, A. and Oliveto, P.S. (2018) Computational complexity analysis of genetic programming. arXiv. (Submitted)

Lissovoi, A. and Witt, C. (2017) The Impact of a Sparse Migration Topology on the Runtime of Island Models in Dynamic Optimization. Algorithmica. ISSN 0178-4617

Lissovoi, A. and Witt, C. (2017) A Runtime Analysis of Parallel Evolutionary Algorithms in Dynamic Optimization. Algorithmica, 78 (2). pp. 641-659. ISSN 0178-4617

Proceedings Paper

Doerr, B., Lissovoi, A. and Oliveto, P.S. (2019) Evolving boolean functions with conjunctions and disjunctions via genetic programming. In: GECCO '19 : Proceedings of the Genetic and Evolutionary Computation Conference. The Genetic and Evolutionary Computation Conference - GECCO 2019, 13-17 Jul 2019, Prague, Czech Republic. ACM Digital Library . ISBN 9781450361118

Doerr, B., Lissovoi, A., Oliveto, P.S. et al. (1 more author) (2018) On the runtime analysis of selection hyper-heuristics with adaptive learning periods. 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. ACM , pp. 1015-1022. ISBN 978-1-4503-5618-3

Lissovoi, A. and Oliveto, P.S. (2018) On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions. In: McIlraith, S.A. and Weinberger, K.Q., (eds.) Thirty-Second AAAI Conference on Artificial Intelligence. Thirty-Second AAAI Conference on Artificial Intelligence, 02-07 Feb 2017, New Orleans, Louisiana, USA. Association for the Advancement of Artificial Intelligence .

Lissovoi, A., Oliveto, P.S. and Warwicker, J.A. (2017) On the runtime analysis of generalised selection hyper-heuristics for pseudo-boolean optimisation. In: GECCO 2017: Proceedings of the 2017 Genetic and Evolutionary Computation Conference. GECCO '17 The Genetic and Evolutionary Computation Conference, 15-19 July 2017, Berlin, Germany. ACM , pp. 849-856. ISBN 9781450349208

Lissovoi, A., Sudholt, D. orcid.org/0000-0001-6020-1646, Wagner, M. et al. (1 more author) (2017) Theoretical results on bet-and-run as an initialisation strategy. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017). Genetic and Evolutionary Computation Conference (GECCO 2017), 15/07/2017 - 19/07/2017, Berlin. ACM , pp. 857-864.

This list was generated on Mon Oct 14 08:11:19 2019 BST.