Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - An aggressive reduction scheme for the simple plant location problem
AU - Letchford, Adam
AU - Miller, Sebastian
N1 - The final, definitive version of this article has been published in the Journal, European Journal of Operational Research 234 (3), 2014, © ELSEVIER.
PY - 2014/5/1
Y1 - 2014/5/1
N2 - Pisinger et al. introduced the concept of 'aggressive reduction' for large-scale combinatorial optimisation problems. The idea is to spend much time and effort in reducing the size of the instance, in the hope that the reduced instance will then be small enough to be solved by an exact algorithm. We present an aggressive reduction scheme for the 'Simple Plant Location Problem', which is a classical problem arising in logistics. The scheme involves four different reduction rules, along with lower- and upper-bounding procedures. The scheme turns out to be particularly effective for instances in which the facilities and clients correspond to points on the Euclidean plane.
AB - Pisinger et al. introduced the concept of 'aggressive reduction' for large-scale combinatorial optimisation problems. The idea is to spend much time and effort in reducing the size of the instance, in the hope that the reduced instance will then be small enough to be solved by an exact algorithm. We present an aggressive reduction scheme for the 'Simple Plant Location Problem', which is a classical problem arising in logistics. The scheme involves four different reduction rules, along with lower- and upper-bounding procedures. The scheme turns out to be particularly effective for instances in which the facilities and clients correspond to points on the Euclidean plane.
KW - Facility location
KW - Combinatorial optimisation
KW - integer programming
U2 - 10.1016/j.ejor.2013.10.020
DO - 10.1016/j.ejor.2013.10.020
M3 - Journal article
VL - 234
SP - 674
EP - 682
JO - European Journal of Operational Research
JF - European Journal of Operational Research
SN - 0377-2217
IS - 3
ER -