Solving min-max optimisation problems by means of bilevel evolutionary algorithms: a preliminary study
Authors
M. Antoniou, G. Papa
Publication
Genetic and Evolutionary Computation Conference Companion GECCO 2020
Cancun, Mexico, 8-12 July, 2020
Abstract
Min-max optimisation is a special instance of a bilevel problem. It deals with the minimisation of the maximum output in all scenarios of a given problem. In this paper, numerical experiments are conducted to assess the accuracy and efficiency of three bilevel algorithms - known to perform well in general bilevel problems - on 13 unconstrained min-max test-functions. This study aims to bring the bilevel and min-max evolutionary community together and create a common ground for both optimisation problems.
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