@inproceedings{a9f285d212864a1580fafa89563babc8,
title = "Homogeneous and heterogeneous island models for the set cover problem",
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. {\textcopyright} 2012 Springer-Verlag.",
keywords = "island model, Parallel evolutionary algorithms, runtime analysis, set cover, theory",
author = "Andrea MAMBRINI and Dirk SUDHOLT and Xin YAO",
year = "2012",
doi = "10.1007/978-3-642-32937-1_2",
language = "English",
isbn = "9783642329364",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin Heidelberg",
pages = "11--20",
editor = "COELLO, {Carlos A. Coello} and Vincenzo CUTELLO and Kalyanmoy DEB and Stephanie FORREST and Giuseppe NICOSIA and Mario PAVONE",
booktitle = "Parallel Problem Solving from Nature : PPSN XII : 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I",
note = "12th International Conference on Parallel Problem Solving from Nature ; Conference date: 01-09-2012 Through 05-09-2012",
}