2018Transportation ManagementOpen access

Solving k-obnoxious facility location problem on a plane

U.K. Bhattacharya

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Abstract

In this paper k-obnoxious facility location problem has been modeled as a pure planner location problem. Area restriction concept has been incorporated by inducting a convex polygon in the constraints set. A linear programming iterative algorithm for k- obnoxious facility locations has been developed. An upper bound has been incorporated in the algorithm to get the optimal solution. Also the concept of upper bound has reduced the number of linear programming problems to solved in the algorithm. Rectilinear distance norm has been considered as the distance measure as it is more appropriate to the various realistic situations.

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In this paper k-obnoxious facility location problem has been modeled as a pure planner location problem. Area restriction concept has been incorporated by inducting a convex polygon in the constraints set. A linear programming iterative algorithm for k- obnoxious facility locations has been developed. An upper bound has been incorporated in the algorithm to get the optimal solution. Also the concept of upper bound has reduced the number of linear programming problems to solved in the algorithm. Rectilinear distance norm has been considered as the distance measure as it is more appropriate to the various realistic situations.

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Available abstract

In this paper k-obnoxious facility location problem has been modeled as a pure planner location problem. Area restriction concept has been incorporated by inducting a convex polygon in the constraints set. A linear programming iterative algorithm for k- obnoxious facility locations has been developed. An upper bound has been incorporated in the algorithm to get the optimal solution. Also the concept of upper bound has reduced the number of linear programming problems to solved in the algorithm. Rectilinear distance norm has been considered as the distance measure as it is more appropriate to the various realistic situations.

Key concepts: Facility location problem, Mathematical optimization, Linear programming, Mathematics, Polygon (computer graphics), Upper and lower bounds, Branch and bound, Norm (philosophy)

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