University of Twente Student Theses
Multi-Objective Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems
Preuß, Oliver Ludger (2023) Multi-Objective Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.
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| Abstract: | This thesis successfully investigated interesting aspects of multi-objective (MO) automated algorithm configuration (AAC) for multi-modal multi-objective optimization problems (MOP) and gained interesting insights into a so far rather unexplored field at the forefront of current research. In this context, various evolutionary multi-objective algorithms (EMOA) were configured to simultaneously generate diverse solutions in the decision space and foster convergence towards the Pareto front. These configurations were performed using the model-based AAC algorithms (MO-)SMAC which demonstrated their high performance and potential for multi-objective configuration tasks. As test instances, a set of, also multi-modal, multi-objective optimization instances of different benchmark function collections were utilized. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Business Information Technology MSc (60025) |
| Link to this item: | https://purl.utwente.nl/essays/96676 |
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