Abstract
We propose and analyse two island models that provably find good approximations for the SetCover problem. A homogeneous island model running parallel instances of the SEMO algorithm—following Friedrich et al. (Evolutionary Computation 18(4), 2010, 617-633)—leads to significant speedups over a single SEMO instance, but at the expense of large communication costs. A heterogeneous island model, where each island optimises a different single-objective fitness function, provides similar speedups at reduced communication costs. We compare different topologies for the homogeneous model and different migration policies for the heterogeneous one.
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Mambrini, A., Sudholt, D., Yao, X. (2012). Homogeneous and Heterogeneous Island Models for the Set Cover Problem. In: Coello, C.A.C., Cutello, V., Deb, K., Forrest, S., Nicosia, G., Pavone, M. (eds) Parallel Problem Solving from Nature - PPSN XII. PPSN 2012. Lecture Notes in Computer Science, vol 7491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32937-1_2
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DOI: https://doi.org/10.1007/978-3-642-32937-1_2
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