Multi-objective Optimization and Network Clustering Julius Žilinskas
Network clustering can be seen as gathering of tighter connected nodes into groups or partitioning the network into less connected ones. So there is a trade-off between separating some connections or joining some nodes where not all of them are tightly connected. In this talk we discuss multi-objective optimization for attacking this trade-off. As an example we analyze cell formation problem arising in group technology and industrial engineering which can be interpreted as a clustering of a network.
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