Multi-objective Optimization and Network Clustering Julius Žilinskas
Institute of Mathematics and Informatics, Vilnius University, Vilnius, Lithuania
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.
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.
Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.