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In this paper we define and heuristically solve the multiple weighted obnoxious facilities location problem maximizing the minimum weighted distance between facilities and a given set of communities. Each community may have a different weight because different communities may be affected differently by a facility. The distance between pairs of facilities must exceed a given minimum distance. Solving the problem by the multi-purpose non-linear solver SNOPT from random starting locations performed poorly. Three approaches are proposed to generate “good” starting solutions. The best known solutions were established by these approaches.
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Stored only when both papers are in the corpus — 15 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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