The Workforce Scheduling and Routing Problem (WSRP) is described as the assignment of personnel to visits across various geographical locations. Solving this problem demands tackling scheduling and routing constraints while aiming to minimise the total operational cost. This type of mobile workforce scheduling problem arises in many real-world operational scenarios. Thus, I investigate the use of Genetic Algorithms (GAs) for Workforce Scheduling and Routing
MSc. Advanced Computing Science - University of Nottingham 2012. Dissertation: “Genetic algorithm for nurse rostering at Riyadh-Al-Kharj Hospital in Saudi Arabia
BSc. In Science with a minor degree in Education – Taif University (2006). Project: “Automation of registration department in Taif University”.
Haneen Algethami, and Dario Landa-Silva. "A Study of Genetic Operators for the Workforce Scheduling and Routing Problem." Proceedings of the XI Metaheuristics International Conference (MIC 2015), Agadir, Morocco.
Wasakorn Laesanklang, Rodrigo Lankaites Pinheiro, Haneen Algethami, Dario Landa-Silva. Extended Decomposition for Mixed Integer Programming to Solve a Workforce Scheduling and Routing Problem. Operations Research and Enterprise Systems, Series Communications in Computer and Information Science, Vol. 577, pp. 191-211, Springer, 2015. Problem instances (set Webroster) available here Extended Version of Paper Presented at the 4th International Conference on Operations Research and Enterprise Systems (ICORES 2015), Lisbon, Portugal, January 2015.
Haneen Algethami, Rodrigo Lankaites Pinheiro, and Dario Landa-Silva. "A genetic algorithm for a workforce scheduling and routing problem." 2016 IEEE Congress on Evolutionary Computation (CEC), Vancouver, BC, 2016, pp. 927-934. doi: 10.1109/CEC.2016.7743889.
Haneen Algethami, Dario Landa-Silva, and Anna Martınez-Gavara. "Selecting Genetic Operators to Maximise Preference Satisfaction in a Workforce Scheduling and Routing Problem." International Conference on Operations Research and Enterprise Systems (ICORES 2017), Porto, Portugal, pp. 416-423.
Haneen Algethami and Dario Landa-Silva. "Diversity-Based Adaptive Genetic Algorithm for a Workforce Scheduling and Routing Problem.", 2017 IEEE Congress on Evolutionary Computation (CEC) Special Session on Diversity Preservation Mechanisms for Population-based Meta-heuristics , Donostia - San Sebastián, Spain, 2017.
Presentation - 4th Student Conference on Operational Research (SCOR 2014).
Presentation - The Metaheuristics International Conference (MIC 2015).
Attendee - Women In Technology conference (WIT 2017).
Presentation - IEEE Congress on Evolutionary Computation (IEEE CEC 2017).
Mar 2017 - The Gold Standard of Reproducible Research at the University of Nottingham
Sep 2015 - Tutorial on Vehicle Routing at Edinburgh University business school.
April 2013 - Stochastic modelling at Lancaster University
Sep 2013 - Combinatorial Optimization at University of Southampton
Jul 2014 - Simulation at Loughborough University
May 2014 - Heuristics & Approximation Algorithms at the University of Nottingham
Jun 2015 - Convex Optimisation at Edinburgh University
2013 / 2015 - Two High achievement awards from the Royal Embassy of Saudi Arabia Culture Bureau, London, UK.
2014 / 2015 - Two Certificate of appreciation for the work with the scientific society for Saudi students in the UK from the Royal Embassy of Saudi Arabia Culture Bureau, London, UK.
2010 - Scholarship (MSc. and PhD.) – Taif University