Constrained Large-Region Multifacility Location Problems
In this article, we present a specialized algorithm to solve the problem of locating new facilities on the surface of the earth. The set of feasible locations is defined by area and maximum-distance constraints, and the earth's surface is approximated by a sphere and a spheroid. Computational e...
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Veröffentlicht in: | The Journal of the Operational Research Society 1987-03, Vol.38 (3), p.241-252 |
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creator | Aykin, Turgut Babu, A. J. G. |
description | In this article, we present a specialized algorithm to solve the problem of locating new facilities on the surface of the earth. The set of feasible locations is defined by area and maximum-distance constraints, and the earth's surface is approximated by a sphere and a spheroid. Computational experience with an illustrative example is presented. |
doi_str_mv | 10.1057/jors.1987.40 |
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J. G.</creator><creatorcontrib>Aykin, Turgut ; Babu, A. J. G.</creatorcontrib><description>In this article, we present a specialized algorithm to solve the problem of locating new facilities on the surface of the earth. The set of feasible locations is defined by area and maximum-distance constraints, and the earth's surface is approximated by a sphere and a spheroid. Computational experience with an illustrative example is presented.</description><identifier>ISSN: 0160-5682</identifier><identifier>EISSN: 1476-9360</identifier><identifier>DOI: 10.1057/jors.1987.40</identifier><identifier>CODEN: JORSDZ</identifier><language>eng</language><publisher>London: Taylor & Francis</publisher><subject>Algorithms ; Applied sciences ; Approximation ; Business and Management ; Continental crust ; Exact sciences and technology ; Facilities ; facility ; Flows in networks. Combinatorial problems ; Geodetic position ; Geographic regions ; Geometric planes ; location ; Location analysis ; Management ; Mathematical models ; Mathematical vectors ; Multiple ; Objective functions ; Operational research and scientific management ; Operational research. 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J. G.</creatorcontrib><title>Constrained Large-Region Multifacility Location Problems</title><title>The Journal of the Operational Research Society</title><addtitle>J Oper Res Soc</addtitle><description>In this article, we present a specialized algorithm to solve the problem of locating new facilities on the surface of the earth. The set of feasible locations is defined by area and maximum-distance constraints, and the earth's surface is approximated by a sphere and a spheroid. Computational experience with an illustrative example is presented.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Approximation</subject><subject>Business and Management</subject><subject>Continental crust</subject><subject>Exact sciences and technology</subject><subject>Facilities</subject><subject>facility</subject><subject>Flows in networks. Combinatorial problems</subject><subject>Geodetic position</subject><subject>Geographic regions</subject><subject>Geometric planes</subject><subject>location</subject><subject>Location analysis</subject><subject>Management</subject><subject>Mathematical models</subject><subject>Mathematical vectors</subject><subject>Multiple</subject><subject>Objective functions</subject><subject>Operational research and scientific management</subject><subject>Operational research. 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J. G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Constrained Large-Region Multifacility Location Problems</atitle><jtitle>The Journal of the Operational Research Society</jtitle><stitle>J Oper Res Soc</stitle><date>1987-03-01</date><risdate>1987</risdate><volume>38</volume><issue>3</issue><spage>241</spage><epage>252</epage><pages>241-252</pages><issn>0160-5682</issn><eissn>1476-9360</eissn><coden>JORSDZ</coden><abstract>In this article, we present a specialized algorithm to solve the problem of locating new facilities on the surface of the earth. The set of feasible locations is defined by area and maximum-distance constraints, and the earth's surface is approximated by a sphere and a spheroid. Computational experience with an illustrative example is presented.</abstract><cop>London</cop><pub>Taylor & Francis</pub><doi>10.1057/jors.1987.40</doi><tpages>12</tpages></addata></record> |
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subjects | Algorithms Applied sciences Approximation Business and Management Continental crust Exact sciences and technology Facilities facility Flows in networks. Combinatorial problems Geodetic position Geographic regions Geometric planes location Location analysis Management Mathematical models Mathematical vectors Multiple Objective functions Operational research and scientific management Operational research. Management science Operations research Operations Research/Decision Theory Spheroids Theoretical Paper Theoretical Papers |
title | Constrained Large-Region Multifacility Location Problems |
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