Inverse Optimisation in Application to Scheduling

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In recent years, the interest in inverse optimisation has increased dramatically. Unlike traditional optimisation models for which all parameters are given and the objective is to find the best solution subject to certain constraints, in inverse optimisation the exact values of some parameters are unknown and they should be determined so that a pre-specified solution becomes optimal. While inverse optimisation has attracted much attention of researchers in different areas of combinatorial optimisation, scheduling problems have not yet been studied in terms of inverse optimisation. The outcomes of this project will advance inverse optimisation research in the area of scheduling and will contribute to the UK's prominence in this newly emerging research direction.