An ant colony algorithm for the pos/neg weighted p-median problem
Jafar Fathali (),
Hossein Kakhki () and
Rainer Burkard ()
Central European Journal of Operations Research, 2006, vol. 14, issue 3, 229-246
Abstract:
Let a graph G = (V, E) with vertex set V and edge set E be given. The classical graph version of the p-median problem asks for a subset $$X\subseteq V$$ of cardinality p, so that the (weighted) sum of the minimum distances from X to all other vertices in V is minimized. We consider the semi-obnoxious case, where every vertex has either a positive or a negative weight. This gives rise to two different objective functions, namely the weighted sum of the minimum distances from X to the vertices in V\X and, differently, the sum over the minimum weighted distances from X to V\X. In this paper an Ant Colony algorithm with a tabu restriction is designed for both problems. Computational results show its superiority with respect to a previously investigated variable neighborhood search and a tabu search heuristic. Copyright Physica-Verlag 2006
Keywords: Ant colony optimization; Location theory; p-Median problem; Obnoxious facilities (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:cejnor:v:14:y:2006:i:3:p:229-246
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DOI: 10.1007/s10100-006-0001-z
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