Optimizing a bi-objective reliable facility location problem with adapted stochastic measures using tuned-parameter multi-objective algorithms

作者：

Highlights：

• This paper develops a bi-objective reliable facility location problems (RFLP).

• There is a constraint on DCs based on both their distance and capacity level.

• There is a provider-side uncertainty for distribution-centers (DCs).

• Three tuned-parameter metaheuristic algorithms are employed to solve the model.

• An exact method via GAMS is used to validate solutions as well.

摘要

•This paper develops a bi-objective reliable facility location problems (RFLP).•There is a constraint on DCs based on both their distance and capacity level.•There is a provider-side uncertainty for distribution-centers (DCs).•Three tuned-parameter metaheuristic algorithms are employed to solve the model.•An exact method via GAMS is used to validate solutions as well.

论文关键词：Bi-objective reliable facility location problem,Stochastic process,Non-dominated ranking genetic algorithm (NRGA),Multi-objective biogeography-based optimization (MOBBO),Response surface methodology (RSM)

论文评审过程：Received 1 June 2015, Revised 9 October 2015, Accepted 3 December 2015, Available online 12 December 2015, Version of Record 27 January 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.12.001