MILP formulations and an iterated local search algorithm with tabu thresholding for the order batching problem
T Öncan - European Journal of Operational Research, 2015 - Elsevier
T Öncan
European Journal of Operational Research, 2015•ElsevierIn this work we deal with the Order Batching Problem (OBP) considering traversal, return
and midpoint routing policies. For the first time, we introduce Mixed Integer Linear
Programming (MILP) formulations for these three variants of the OBP. We also suggest an
efficient Iterated Local Search Algorithm with Tabu Thresholding (ILST). According to our
extensive computational experiments on standard and randomly generated instances we
can say that the proposed ILST yields an outstanding performance in terms of both accuracy …
and midpoint routing policies. For the first time, we introduce Mixed Integer Linear
Programming (MILP) formulations for these three variants of the OBP. We also suggest an
efficient Iterated Local Search Algorithm with Tabu Thresholding (ILST). According to our
extensive computational experiments on standard and randomly generated instances we
can say that the proposed ILST yields an outstanding performance in terms of both accuracy …
Abstract
In this work we deal with the Order Batching Problem (OBP) considering traversal, return and midpoint routing policies. For the first time, we introduce Mixed Integer Linear Programming (MILP) formulations for these three variants of the OBP. We also suggest an efficient Iterated Local Search Algorithm with Tabu Thresholding (ILST). According to our extensive computational experiments on standard and randomly generated instances we can say that the proposed ILST yields an outstanding performance in terms of both accuracy and efficiency.
Elsevier