| A survey of evolutionary continuous dynamic optimization over two decades—Part B D Yazdani, R Cheng, D Yazdani, J Branke, Y Jin, X Yao IEEE Transactions on Evolutionary Computation 25 (4), 630-650, 2021 | 49 | 2021 |
| A survey of evolutionary continuous dynamic optimization over two decades—Part A D Yazdani, R Cheng, D Yazdani, J Branke, Y Jin, X Yao IEEE Transactions on Evolutionary Computation 25 (4), 609-629, 2021 | 44 | 2021 |
| Fast artificial immune systems D Corus, PS Oliveto, D Yazdani Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018 | 36 | 2018 |
| On the runtime analysis of the Opt-IA artificial immune system D Corus, PS Oliveto, D Yazdani Proceedings of the Genetic and Evolutionary Computation Conference, 83-90, 2017 | 30 | 2017 |
| Artificial immune systems can find arbitrarily good approximations for the NP-hard number partitioning problem D Corus, PS Oliveto, D Yazdani Artificial Intelligence 274, 180-196, 2019 | 29 | 2019 |
| When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms D Corus, PS Oliveto, D Yazdani Theoretical Computer Science 832, 166-185, 2020 | 27 | 2020 |
| Fish swarm search algorithm: A new algorithm for global optimization D Yazdani, S Sadeghi-Ivrigh, D Yazdani, A Sepas-Moghaddam, ... Int. J. Artif. Intell. 13 (2), 17-45, 2015 | 15 | 2015 |
| Artificial immune systems can find arbitrarily good approximations for the NP-hard partition problem D Corus, PS Oliveto, D Yazdani Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018 | 13 | 2018 |
| A Novel Artificial Bee Colony Algorithm for Global Optimization D Yazdani, MR Meybodi 4th International Conference on Computer and Knowledge engineering, ICCKE 2014, 2014 | 11 | 2014 |
| Fast immune system-inspired hypermutation operators for combinatorial optimization D Corus, PS Oliveto, D Yazdani IEEE Transactions on Evolutionary Computation 25 (5), 956-970, 2021 | 10 | 2021 |
| Automatic adaptation of hypermutation rates for multimodal optimisation D Corus, PS Oliveto, D Yazdani Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic …, 2021 | 9 | 2021 |
| On inversely proportional hypermutations with mutation potential D Corus, PS Oliveto, D Yazdani Proceedings of the Genetic and Evolutionary Computation Conference, 215-223, 2019 | 8 | 2019 |
| A new algorithm for improving deficiencies of past self-organized criticality based extinction algorithms A Ghaffarizdeh, M Eftekhari, D Yazdani, K Ahmadi 2015 The International Symposium on Artificial Intelligence and Signal …, 2015 | 1 | 2015 |
| Robust Optimization Over Time by Estimating Robustness of Promising Regions D Yazdani, D Yazdani, J Branke, MN Omidvar, AH Gandomi, X Yao IEEE Transactions on Evolutionary Computation, 2022 | | 2022 |
| A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part A XY Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin https://ieeexplore.ieee.org/document/9356715, 2021 | | 2021 |
| Fast Immune System Inspired Hypermutation Operators for Combinatorial Optimisation D Çörüş, PS Oliveto, D Yazdani Institute of Electrical and Electronics Engineers Inc., 2021 | | 2021 |
| Artificial Immune Systems for Combinatorial Optimisation: A Theoretical Investigation D Yazdani University of Sheffield, 2020 | | 2020 |
| Toward a Matrix-Free Covariance Matrix Adaptation Evolution Strategy......................... J. Arabas and D. Jagodzinski 84 A Many-Objective Evolutionary Algorithm With … D Yazdani, MN Omidvar, J Branke, TT Nguyen, X Yao | | |
Pietro S. OlivetoProfessor of Computer Science, Chair in Algorithms, The University of SheffieldVerified email at sheffield.ac.uk
