Items where authors include "Yazdani, D."

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Number of items: 7.

Article

Yazdani, D. orcid.org/0000-0002-7799-5013, Omidvar, M.N. orcid.org/0000-0003-1944-4624, Yazdani, D. orcid.org/0000-0003-2151-0547 et al. (5 more authors) (2023) Robust Optimization Over Time: A Critical Review. IEEE Transactions on Evolutionary Computation. ISSN 1089-778X

Yazdani, D., Yazdani, D., Yazdani, D. et al. (3 more authors) (2023) A Species-based Particle Swarm Optimization with Adaptive Population Size and Deactivation of Species for Dynamic Optimization Problems. ACM Transactions on Evolutionary Learning and Optimization. ISSN 2688-299X

Corus, D., Oliveto, P.S. and Yazdani, D. (2021) Fast immune system-inspired hypermutation operators for combinatorial optimization. IEEE Transactions on Evolutionary Computation, 25 (5). pp. 956-970. ISSN 1089-778X

Corus, D., Oliveto, P.S. and Yazdani, D. (2020) When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms. Theoretical Computer Science, 832. pp. 166-185. ISSN 0304-3975

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

Proceedings Paper

Corus, D., Oliveto, P.S. and Yazdani, D. (2019) On inversely proportional hypermutations with mutation potential. In: GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2019, 13-17 Jul 2019, Prague, Czech Republic. ACM , pp. 215-223. ISBN 978-1-4503-6111-8

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

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