Working Groups

Working Group 1

WG1 focuses on the crucial aspect of translating an informal problem description into a formal model that can be implemented, executed, and optimised by Randomised Optimisation Algorithms (ROAs), and aims at making the deployment of ROAs easier and more accessible to end users in a wide variety of applications.

Working Group 2

WG2 brings together researchers from discrete and continuous optimisation to advance theory and algorithm design for problems where candidate solutions consist of continuous and discrete, or even combinatorial, components.

Working Group 3

WG3 explores the interrelation between multiobjective optimisation problems and associated scalarised single-objective optimisation problems. Depending on the decision-maker preferences, many formulations of a multiobjective optimisation problem are possible.

Working Group 4

WG4 brings together researchers from statistical modelling and optimisation to advance problem definitions and methods related to uncertainty handling. It aims to improve and develop optimisation algorithms for classes of uncertainties commonly arising in real-world applications.

Working Group 5

WG5 focuses on selecting and configuring appropriate ROAs for given problem instances based on instance features, configuring ROAs that achieve a good level of performance on broad families of instances, and exploring the corresponding trade-offs.

Working Group 6

WG6 is concerned with experimentally comparing algorithms so that the most information can be gained from the effort spent. The group focuses on evaluating the performance of ROAs themselves, but also comparing ROAs to more traditional solvers and studying how ROAs perform in actual practice when the humans, processes, and technologies involved in their deployment are included in the experiments.