| The bees algorithm: modelling foraging behaviour to solve continuous optimization problems DT Pham, M Castellani Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2009 | 295 | 2009 |
| Evolutionary artificial neural network design and training for wood veneer classification M Castellani, H Rowlands Engineering Applications of Artificial Intelligence 22 (4-5), 732-741, 2009 | 104 | 2009 |
| Benchmarking and comparison of nature-inspired population-based continuous optimisation algorithms DT Pham, M Castellani Soft Computing 18, 871-903, 2014 | 103 | 2014 |
| Learning the inverse kinematics of a robot manipulator using the bees algorithm DT Pham, M Castellani, AA Fahmy 2008 6th IEEE international conference on industrial informatics, 493-498, 2008 | 102 | 2008 |
| A comparative study of the Bees Algorithm as a tool for function optimisation DT Pham, M Castellani Cogent Engineering 2 (1), 1091540, 2015 | 91 | 2015 |
| Preliminary design using the bees algorithm DT Pham, M Castellani, A Ghanbarzadeh Proceedings of eighth international conference on laser metrology, CMM and …, 2007 | 74 | 2007 |
| Automatic design of control systems for robot manipulators using the bees algorithm AA Fahmy, M Kalyoncu, M Castellani Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2012 | 62 | 2012 |
| Action aggregation and defuzzification in Mamdani-type fuzzy systems DT Pham, M Castellani Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2002 | 54 | 2002 |
| Modeling fitness changes in wild Atlantic salmon populations faced by spawning intrusion of domesticated escapees M Castellani, M Heino, J Gilbey, H Araki, T Svåsand, KA Glover Evolutionary Applications 11 (6), 1010-1025, 2018 | 42 | 2018 |
| Estimating the relative fitness of escaped farmed salmon offspring in the wild and modelling the consequences of invasion for wild populations EVA Sylvester, BF Wringe, SJ Duffy, LC Hamilton, IA Fleming, ... Evolutionary Applications, 2019 | 41 | 2019 |
| Dynamic optimisation by a modified bees algorithm M Castellani, QT Pham, DT Pham Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2012 | 40 | 2012 |
| Successful strategies in size structured mixotrophic food webs S Våge, M Castellani, J Giske, TF Thingstad Aquatic Ecology 47, 329-347, 2013 | 39 | 2013 |
| Identification of eddies from sea surface temperature maps with neural networks M Castellani International journal of remote sensing 27 (8), 1601-1618, 2006 | 39 | 2006 |
| Evolutionary generation of neural network classifiers—An empirical comparison M Castellani Neurocomputing 99, 214-229, 2013 | 36 | 2013 |
| A modified bees algorithm and a statistics-based method for tuning its parameters QT Pham, DT Pham, M Castellani Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2012 | 33 | 2012 |
| IBSEM: An individual-based Atlantic salmon population model M Castellani, M Heino, J Gilbey, H Araki, T Svåsand, KA Glover PLoS One 10 (9), e0138444, 2015 | 32 | 2015 |
| Dynamic optimisation of chemical engineering processes using the bees algorithm DT Pham, QT Pham, A Ghanbarzadeh, M Castellani IFAC Proceedings Volumes 41 (2), 6100-6105, 2008 | 32 | 2008 |
| Printed circuit board assembly time minimisation using a novel Bees Algorithm M Castellani, S Otri, DT Pham Computers & Industrial Engineering 133, 186–194, 2019 | 31 | 2019 |
| Analysis of the inertia and dynamics of grasped objects, for choosing optimal grasps to enable torque-efficient post-grasp manipulations N Mavrakis, R Stolkin, L Baronti, M Kopicki, M Castellani 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016 | 28 | 2016 |
| An analysis of the search mechanisms of the bees algorithm L Baronti, M Castellani, DT Pham Swarm and evolutionary computation 59, 100746, 2020 | 27 | 2020 |
