Some important contributions of my career include

     - Studies algorithmic design of Differential Evolution and reported in the review articles available at this link and this link

     - An edited Handbook on Memetic Algorithms and a review article on Memetic Computing

     - Studies on P Systems used as number generators to solve optimisation problems, such as the one available at this link

I am involved in numerous editorial activities, e.g. I am Associate Editor of Information Science, Memetic Computing and Member of the Editorial Committee for Integrated Computer-Aided Engineering.


Y. Xue, P. Jiang, F. Neri, J. Liang, “A Multiobjective Evolutionary Approach Based on Graph-in-graph for Neural Architecture Search of Convolutional Neural Networks”, International Journal of Neural Systems, to appear  

Y. Xue, Y. Tang, X. Xu, J. Liang; F. Neri, “Multi-objective Feature Selection with Missing Data in Classification”, IEEE Transactions on Emerging Topics in Computational Intelligence, to appear  

F. Neri, S. Rostami, “Generalised Pattern Search based on Covariance Matrix Diagonalisation”,  Springer Nature Computer Science, Vol. 2, 171, 2021.  

G. Zhang, H. Rong, P. Paul, Y. He, F. Neri, M. J. Pérez-Jiménez, “A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion”,  International Journal of Neural Systems,r Vol. 31, No. 01, 2050055,  2021

M. Zhu, J. Dong, Q. Yang, X. Gou, G. Zhang, P. Paul, H. Rong, F. Neri, “An Adaptive Optimisation Spiking Neural P System for Binary Problems”, International Journal of Neural Systems,Vol. 31, No. 01, 2050054, 2021

S. Rostami, F. Neri, K. Gyaurski, “On Algorithmic Descriptions and Software Implementations for Multi-objective Optimisation: A Comparative Study”,  Springer Nature Computer Science, Number 247, 2020

S. Cao, G. Zhang, P. Liu, X. Zhang and F. Neri “Cloud-Assisted Secure eHealth Systems for Tamper-Proofing EHR via Blockchain”, Information Sciences, Elsevier, vol 485, pp. 427-440, 2019

F. Caraffini, F. Neri, M. Epitropakis, “HyperSPAM: A study on Hyper-heuristic Coordination Strategies in the Continuous Domain”, Information Sciences, Elsevier, vol 477, pp. 186-202, 2019

F. Caraffini, F. Neri, “A Study on Rotation Invariance in Differential Evolution”, Swarm and Evolutionary Computation, Volume 50, 100436,  2019

R. D. Al-Dabbagh, F. Neri, N. Idris, M. S. Baba, “Algorithm Design Issues in Adaptive Differential Evolution: Review and taxonomy”, Swarm and Evolutionary Computation, vol 43, Pages 284-311, 2018

T. Wu, F. Bible, A. Paun, L. Pan, F. Neri, “Simplified and yet Turing universal spiking neural P systems with communication on request”, International Journal of Neural Systems, vol. 28, no. 8, 1850013, 2018

L. Pan, G. Paun, G. Zhang, F. Neri, “Spiking Neural P Systems with Communication on Request”, International Journal of Neural Systems, vol. 27, no. 8, 1750042, 2017

S. Rostami, F. Neri, M. Epitropakis, “Progressive Preference Articulation for Decision Making in Multi-Objective Optimisation Problems”, Integrated Computer-Aided Engineering, vol. 24, no. 4, pp. 315-335, 2017

S. Rostami, F. Neri, “A Fast Hypervolume Driven Selection Mechanism for Many-Objective Optimisation Problems”, Swarm and Evolutionary Computation, vol 34, pp 50-67, 2017

S. Rostami, F. Neri, “Covariance Matrix Adaptation Pareto Archived Evolution Strategy with Hyper volume-sorted Adaptive Grid Algorithm”, Integrated Computer Aided Engineering, vol. 23, no. 4, pp. 313-329, 2016

G. Zhang, H. Rong, F. Neri, and M.J. Perez-Jimenez, “An Optimization Spiking Neural P System for Approximately Solving Combinatorial Optimization Problems”, International Journal of Neural Systems, Worldscientific, Volume 24, Issue 5:1440006, August 2014

F. Caraffini, F. Neri, L. Picinali, “An Analysis on Separability for Memetic Computing Automatic Design”, Information Sciences, Elsevier, Volume 265, pages 1-22, May 2014



My main research interests lean towards

     - Metaheuristic Optimisation in the Continuous Domain, especially Memetic Algorithms and Differential Evolution

     - Fitness Landscape Analysis

     - Computational Modelling, especially P Systems/Membrane Computing