| Flower pollination algorithm: a novel approach for multiobjective optimization XS Yang, M Karamanoglu, X He Engineering optimization 46 (9), 1222-1237, 2014 | 692 | 2014 |
| Swarm intelligence and bio-inspired computation: theory and applications XS Yang, Z Cui, R Xiao, AH Gandomi, M Karamanoglu Newnes, 2013 | 656 | 2013 |
| Multi-objective flower algorithm for optimization XS Yang, M Karamanoglu, X He Procedia Computer Science 18, 861-868, 2013 | 446 | 2013 |
| Digital twins: A survey on enabling technologies, challenges, trends and future prospects S Mihai, M Yaqoob, DV Hung, W Davis, P Towakel, M Raza, ... IEEE Communications Surveys & Tutorials 24 (4), 2255-2291, 2022 | 364 | 2022 |
| Swarm intelligence and bio-inspired computation: an overview XS Yang, M Karamanoglu Swarm intelligence and bio-inspired computation, 3-23, 2013 | 160 | 2013 |
| A framework for self-tuning optimization algorithm XS Yang, S Deb, M Loomes, M Karamanoglu Neural Computing and Applications 23, 2051-2057, 2013 | 119 | 2013 |
| Using personality type differences to form engineering design teams ST Shen, SD Prior, AS White, M Karamanoglu Engineering education 2 (2), 54-66, 2007 | 102 | 2007 |
| Global convergence analysis of the flower pollination algorithm: a discrete-time Markov chain approach X He, XS Yang, M Karamanoglu, Y Zhao Procedia Computer Science 108, 1354-1363, 2017 | 76 | 2017 |
| Cuckoo search for business optimization applications XS Yang, S Deb, M Karamanoglu, X He 2012 national conference on computing and communication systems, 1-5, 2012 | 67 | 2012 |
| True global optimality of the pressure vessel design problem: a benchmark for bio-inspired optimisation algorithms XS Yang, C Huyck, M Karamanoglu, N Khan International Journal of Bio-Inspired Computation 5 (6), 329-335, 2013 | 54 | 2013 |
| Random walks, Lévy flights, Markov chains and metaheuristic optimization XS Yang, TO Ting, M Karamanoglu Future Information Communication Technology and Applications: ICFICE 2013 …, 2013 | 52 | 2013 |
| Bat algorithm for topology optimization in microelectronic applications XS Yang, M Karamanoglu, S Fong The First International Conference on Future Generation Communication …, 2012 | 49 | 2012 |
| Nature-inspired computation and swarm intelligence: a state-of-the-art overview XS Yang, M Karamanoglu Nature-Inspired Computation and Swarm Intelligence, 3-18, 2020 | 46 | 2020 |
| Secure wireless powered and cooperative jamming D2D communications Z Chu, HX Nguyen, TA Le, M Karamanoglu, E Ever, A Yazici IEEE Transactions on Green Communications and Networking 2 (1), 1-13, 2017 | 44 | 2017 |
| Investigating the use of the Coanda Effect to create novel unmanned aerial vehicles C Barlow, D Lewis, SD Prior, S Odedra, MA Erbil, M Karamanoglu, ... | 35 | 2009 |
| Game theory based secure wireless powered D2D communications with cooperative jamming Z Chu, HX Nguyen, TA Le, M Karamanoglu, D To, E Ever, F Al-Turjman, ... 2017 Wireless Days, 95-98, 2017 | 33 | 2017 |
| Investigating the mobility of unmanned ground vehicles S Odedra, SD Prior, M Karamanoglu | 32 | 2009 |
| Development of a novel platform for greater situational awareness in the urban military terrain SD Prior, ST Shen, AS White, S Odedra, M Karamanoglu, MA Erbil, ... Engineering Psychology and Cognitive Ergonomics: 8th International …, 2009 | 31 | 2009 |
| Mathematical modelling and parameter optimization of pulsating heat pipes XS Yang, M Karamanoglu, T Luan, S Koziel Journal of Computational Science 5 (2), 119-125, 2014 | 27 | 2014 |
| Reconfigurable unmanned aerial vehicles MA Erbil, SD Prior, M Karamanoglu, S Odedra, C Barlow, D Lewis | 23 | 2009 |
Xin-She Yang (DPhil)Computational intelligence, swarm intelligence, optimization, metaheuristics, nature-inspired在 mdx.ac.uk 的电子邮件经过验证
