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Towards understanding the impact of problem landscapes in numerical black-box optimization

Author(s): Urban Škvorc (Author), Peter Korošec (Supervisor), Tome Eftimov (Co-Supervisor)

Year: 2023

Type: Doctoral dissertation

In optimization, it is well known that algorithm performance is dependent on the problem being solved. As a consequence of this, achieving good optimization results requires correctly matching an optimization problem to a specific optimization algorithm that performs well on that problem. For this to be possible, knowledge of both …