Fuzzy zoning: a lagrangean relaxation approach
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Naderi Varandi, Siamak and Kılıç, Kemal (2016) Fuzzy zoning: a lagrangean relaxation approach. In: IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary (Accepted/In Press)
This research arises from the need of equality in
real life problems. Clustering algorithms are being used in many
applications where equality is an interest, such as districting
(either zonal or political) and industry (distribution companies).
One of the well known clustering algorithms is Fuzzy clustering.
We add an equality constraint to the existing model. We call the
new problem ”Zoning” problem. One of the application where
equality can play a critical role is Wireless Sensor Network.
A Lagrangean relaxation based approach is developed to solve
Zonnig problem. The proposed algorithm is simulated and the
results show robust performance regarding the equality of the
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