Iterative aggregation and disaggregation algorithm for pseudo-polynomial network flow models with side constraints

作者：Clautiaux Francois^*; Hanafi Said; Macedo Rita; Voge Marie Emilie; Alves Claudio

来源：European Journal of Operational Research, 2017, 258(2): 467-477.

DOI：10.1016/j.ejor.2016.09.051

• Integer programming
• Arc-flow integer models
• Aggregation of integer models
• Combinatorial optimization

This paper develops a general solution framework based on aggregation techniques to solve NP-Hard problems that can be formulated as a circulation model with specific side constraints. The size of the extended Mixed Integer Linear Programming formulation is generally pseudo-polynomial. To efficiently solve exactly these large scale models, we propose a new iterative aggregation and disaggregation algorithm. At each iteration, it projects the original model onto an aggregated one, producing an approximate model. The process iterates to refine the current aggregated model until the optimality is proved.
The computational experiments on two hard optimization problems (a variant of the vehicle routing problem and the cutting-stock problem) show that a generic implementation of the proposed framework allows us to outperform previous known methods.

• 出版日期2017-4-16