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Much of the literature involving the location of one or more new facilities in the plane is concerned with minimizing a single objective function. In this paper we consider the problem of generating the efficient set of locations for a single facility where it is important that the facility be located as close as possible to each of a number of existing facilities whose locations are known. We concentrate on the notion of distance commonly referred to as the ℓ1 norm, the Manhattan norm, or the city-block norm but results for other norms are given also. We develop properties of the efficient set and present two separate procedures for generating the efficient set.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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