In this paper, I present a mixed integer programming (MIP) formulation for the 1-maximin problem with rectilinear distance. The problem mainly appears in facility location while trying to locate an undesirable facility. The rectilinear distance is quite Commonly used in the location literature. Our numerical experiments show that one can solve reasonably large location problems using a standard MIP solver. We also provide a linear programming formulation that helps find an upper bound on the objective function value of the 1-maximin problem with any norm when extreme points of the feasible region are known. We discuss various extension alternatives for the MIP formulation.
机构:
Iowa State Univ, Dept Civil Construct & Environm Engn, 358 Town Engn Bldg, Ames, IA 50011 USAIowa State Univ, Dept Civil Construct & Environm Engn, 358 Town Engn Bldg, Ames, IA 50011 USA
机构:
Natl Assoc Boards Pharm, Psycometr & Res Dept, Mt Prospect, IL USA
Psycometr & Res Dept, Natl Assoc Boards Pharm, 1600 Feehanville Dr, Mt Prospect, IL 60056 USANatl Assoc Boards Pharm, Psycometr & Res Dept, Mt Prospect, IL USA
机构:
North Carolina State Univ, Edward P Fitts Dept Ind & Syst Engn, Raleigh, NC 27695 USANorth Carolina State Univ, Edward P Fitts Dept Ind & Syst Engn, Raleigh, NC 27695 USA
机构:
Iowa State Univ, Dept Civil Construct & Environm Engn, 358 Town Engn Bldg, Ames, IA 50011 USAIowa State Univ, Dept Civil Construct & Environm Engn, 358 Town Engn Bldg, Ames, IA 50011 USA
机构:
Natl Assoc Boards Pharm, Psycometr & Res Dept, Mt Prospect, IL USA
Psycometr & Res Dept, Natl Assoc Boards Pharm, 1600 Feehanville Dr, Mt Prospect, IL 60056 USANatl Assoc Boards Pharm, Psycometr & Res Dept, Mt Prospect, IL USA
机构:
North Carolina State Univ, Edward P Fitts Dept Ind & Syst Engn, Raleigh, NC 27695 USANorth Carolina State Univ, Edward P Fitts Dept Ind & Syst Engn, Raleigh, NC 27695 USA