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    Runtime analysis of evolutionary multi-objective algorithms optimising the degree and diameter of spanning trees

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    Motivated by the telecommunication network design, we study the problem of finding diverse set of minimum spanning trees of a certain complete graph based on the two features which are maximum degree and diameter. In this study, we examine a simple multi-objective EA, GSEMO, in solving the two problems where we maximise or minimise the two features at the same time.With a rigorous runtime analysis, we provide understanding of how GSEMO optimize the set of minimum spanning trees in these two different feature spaces.Wanru Gao, Mojgan Pourhassan, Vahid Roostapour, and Frank Neuman
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