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INFORMS Journal on Computing
 
     
  Volume Number 20   Issue Number 4   First Page 611   Last Page 617   Cover Date November 01, 2008

 
 
 
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  Computing Globally Optimal Solutions for Single-Row Layout Problems Using Semidefinite Programming and Cutting Planes
Miguel F. Anjos, Anthony Vannelli
 
  This paper is concerned with the single-row facility layout problem (SRFLP). A globally optimal solution to the SRFLP is a linear placement of rectangular facilities with varying lengths that achieves the minimum total cost associated with the (known or projected) interactions between them. We demonstrate that the combination of a semidefinite programming relaxation with cutting planes is able to compute globally optimal layouts for large SRFLPs with up to 30 facilities. In particular, we report the globally optimal solutions for two sets of SRFLPs previously studied in the literature, some of which have remained unsolved since 1988.  
   

   
   
   
     
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