Branch and peg algorithms for the simple plant location problems
View/ Open
Date
2003-10-20Author
Goldengorin, B.
Ghosh, Diptesh
Sierksma, G.
Metadata
Show full item recordAbstract
The simple plant location problem is a well-studied problem in combinatorial optimization. It is one of
deciding where to locate a set of plants so that a set of clients can be supplied by them at the minimum
cost. This problem often appears as a subproblem in other combinatorial problems. Several branch andbound
techniques have been developed to solve these problems. In this paper we present two techniques that enhance
the performance of branch andboundalgorithms. The new algorithms thus obtainedare calledbranch andpeg
algorithms, where pegging refers to 0xing values of variables at each subproblem in the branch andbound
tree, and is distinct from variable 0xing during the branching process. We present exhaustive computational
experiments which show that the new algorithms generate less than 60% of the number of subproblems
generatedby branch andboundalgorithms, andin certain cases require less than 10% of the execution times
requiredby branch andboundalgorithms.
Collections
- Journal Articles [3695]