Monash University
Hemmi_Thesis0219_Redacted.pdf (11.49 MB)

Modelling and Solving Techniques for Stochastic Combinatorial Optimisation Problems

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posted on 2019-02-26, 04:24 authored by DAVID HEMMI
Decision making under uncertainty is an important topic in many Industries, such as telecommunication, logistics and energy management. For example, scheduling electricity generators in light of demand and production uncertainties is almost impossible without the help of computers. We tackle such decision problems using a two-step approach. First, we write a model of the problem using mathematics, and secondly, we deploy appropriate algorithms to find a solution to the problem. The contribution of this thesis is two-fold, first we propose techniques to improve mathematical models, and secondly, we present algorithmic innovations to find high quality solutions quickly.


Principal supervisor

Guido Tack

Additional supervisor 1

Mark Wallace

Year of Award


Department, School or Centre

Information Technology (Monash University Caulfield)


Doctor of Philosophy

Degree Type



Faculty of Information Technology