Project Title: Novel Optimization Methods for Home Healthcare Planning Problem 
Student: Jinlei Zhang
Course: MSc in Computer Science

Abstract:
Home Healthcare Planning problem plays an increasingly important role both in our
daily life and in the academic world. It can not only help make our daily life more
effective but can also develop the field of optimization which is about to find more
efficient algorithms or solutions to solve complex real world or computer related
professional problems. Such problems mainly involve assigning workers with skills to
perform tasks to proper customers according to workers’ and customers’ preferences
alongside locations and time availabilities. This project aims to explore novel methods
adopting the state-of-the-art optimizer Gurobi alongside its Python API for Home
Healthcare Planning problem as well as evaluate the performance regarding such
solution. The model of the problem solved in this study was implemented with
PyCharm in Python script format. The model was evaluated by tuning the setting
parameters of Gurobi as well as adopting forty-two datasets from the real world.