Improving the Performance of Genetic Algorithm in Capacitated Vehicle Routing Problem using Self Imposed Constraints. - Ziauddin Ursani; Ruhul A. Sarker; Hussein A. Abbass (CISched, 2007)

Introducing the Localized Genetic Algorithm for Small Scale Capacitated Vehicle Routing Problems. - Ziauddin Ursani; Daryl Essam; David Cornforth; Robert Stocker (INFOR Inf. Syst. Oper. Res., 2009)

Localized genetic algorithm for the vehicle routing problem. - Ziauddin Ursani (2009)

Localized genetic algorithm for vehicle routing problem with time windows. - Ziauddin Ursani; Daryl Essam; David Cornforth; Robert Stocker (Appl. Soft Comput., 2011)

Enhancements to the Localized Genetic Algorithm for Large Scale Capacitated Vehicle Routing Problems. - Ziauddin Ursani; Daryl Essam; David Cornforth; Robert Stocker (Int. J. Appl. Evol. Comput., 2013)

Computing availability for redundant flow systems. - Ziauddin Ursani (Optim. Lett., 2014)

Forecasting the flow of urban pollution with cellular automata. - Sukanya Benjavanich; Ziauddin Ursani; David Corne (SustainIT, 2017)

A Hierarchical Nonlinear Discriminant Classifier Trained Through an Evolutionary Algorithm. - Ziauddin Ursani; David W. Corne (BDCA, 2018)

A Novel Nonlinear Discriminant Classifier Trained by an Evolutionary Algorithm. - Ziauddin Ursani; David W. Corne (ICMLC, 2018)

Introducing the Theory of Probabilistic Hierarchical Learning for Classification. - Ziauddin Ursani; Jo Dicks (IEA/AIE, 2019)

AMoC: A Multifaceted Machine Learning-based Toolkit for Analysing Cybercriminal Communities on the Darknet. - Chao Chen; Claudia Peersman; Matthew Edwards 001; Ziauddin Ursani; Awais Rashid (IEEE BigData, 2021)

The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach. - Ziauddin Ursani; Claudia Peersman; Matthew Edwards 001; Chao Chen; Awais Rashid (EuroS&P Workshops, 2021)

The Theory of Probabilistic Hierarchical Supervised Learning for Classification. - Ziauddin Ursani (IEEM, 2023)

The Theory of Probabilistic Hierarchical Supervised Ensemble Learning. - Ziauddin Ursani; Dmytro Antypov; Katie Atkinson; Judith Clymo; Matthew S. Dyer; Matthew J. Rosseinsky; Sven Schewe; Andrij Vasylenko (ICMLA, 2024)

Hierarchical Supervised Monte Carlo Ensemble Learning. - Ziauddin Ursani; Dmytro Antypov; Katie Atkinson; Judith Clymo; Matthew S. Dyer; Matthew J. Rosseinsky; Sven Schewe; Andrij Vasylenko (ICMLA, 2024)