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Number of items: 18.

Article

Corus, D., Oliveto, P.S. and Yazdani, D. (2019) Artificial immune systems can find arbitrarily good approximations for the NP-hard number partitioning problem. Artificial Intelligence, 274. pp. 180-196. ISSN 0004-3702

Corus, D., Oliveto, P.S. and Yazdani, D. (2019) When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms. Theoretical Computer Science. ISSN 0304-3975

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

Nallaperuma, S., Oliveto, P.S., Perez Heredia, J. et al. (1 more author) (2018) On the Analysis of Trajectory-Based Search Algorithms: When is it Beneficial to Reject Improvements? Algorithmica. ISSN 0178-4617

Corus, D. and Oliveto, P.S. (2017) Standard Steady State Genetic Algorithms Can Hillclimb Faster than Mutation-only Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. ISSN 1089-778X

Oliveto, P.S., Paixão, T., Pérez Heredia, J. et al. (2 more authors) (2017) How to Escape Local Optima in Black Box Optimisation: When Non-elitism Outperforms Elitism. Algorithmica. pp. 1-30. ISSN 0178-4617

Lehre, P.K. and Oliveto, P.S. (2017) Theoretical Analysis of Stochastic Search Algorithms. arXiv. (Submitted)

Dang, D.C., Friedrich, T., Kötzing, T. et al. (5 more authors) (2017) Escaping Local Optima Using Crossover with Emergent Diversity. IEEE Transactions on Evolutionary Computation. ISSN 1089-778X

Corus, D., He, J., Jansen, T. et al. (3 more authors) (2017) On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation. Algorithmica, 78 (2). pp. 714-740. ISSN 0178-4617

Proceedings Paper

Corus, D., Oliveto, P.S. and Yazdani, D. (2019) On inversely proportional hypermutations with mutation potential. In: Proceedings of GECCO 2019. GECCO 2019, 13-17 Jul 2019, Prague, Czech Republic. ACM . (In Press)

Corus, D. and Oliveto, P.S. (2019) On the benefits of populations on the exploitation speed of standard steady-state genetic algorithms. In: Proceedings of the Genetic and Evolutionary Computation Conference 2019. GECCO '19, 13-17 Jul 2019, Prague, Czech Republic. ACM . (In Press)

Corus, D., Oliveto, P.S. and Yazdani, D. (2018) Artificial Immune Systems can find arbitrarily good approximations for the NP-Hard partition problem. In: Auger, A., Fonseca, C., Lourenço, N., Machado , P., Paquete, L. and Whitley, D., (eds.) Parallel Problem Solving from Nature – PPSN XV, PT II. PPSN: 15th International Conference on Parallel Problem Solving from Nature, 08-12 Sep 2018, Coimbra, Portugal. Lecture Notes in Computer Science, 11102 . Springer, Cham , pp. 16-28. ISBN 9783319992587

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

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.

Dang, D., Friedrich, T., Kötzing, T. et al. (5 more authors) (2016) Emergence of Diversity and its Benefits for Crossover in Genetic Algorithms. In: Parallel Problem Solving from Nature – PPSN XIV. Parallel Problem Solving from Nature (PPSN 2016), 17th - 21st Sep, 2016, Edinburgh, UK. Lecture Notes in Computer Science, 9921 . Springer International Publishing .

Sudholt, D. orcid.org/0000-0001-6020-1646, Perez Heredia, J., Paixao, T. et al. (2 more authors) (2016) When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys. In: Proceedings of the Genetic and Evolutionary Computation Conference 2016. Genetic and Evolutionary Computation Conference (GECCO 2016), 20-24 July 2016, Denver, Colorado, USA. ACM , pp. 1163-1170. ISBN 978-1-4503-4206-3

This list was generated on Sun Jul 14 09:56:48 2019 BST.