Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials

作者：

Highlights：

• A stochastic model for the locating and allocation of facilities of hazardous material is proposed.

• The model studies the transportation of hazardous material and supplying customers with goods.

• Environmental risk, profitability, and cost stochasticity are incorporated into the model.

• A genetic algorithm (GA) finds optimum and high quality solutions for both small and large problems.

• A (GA) is developed to obtain the best solution with run times of less than 10% of an exact algorithm.

摘要

•A stochastic model for the locating and allocation of facilities of hazardous material is proposed.•The model studies the transportation of hazardous material and supplying customers with goods.•Environmental risk, profitability, and cost stochasticity are incorporated into the model.•A genetic algorithm (GA) finds optimum and high quality solutions for both small and large problems.•A (GA) is developed to obtain the best solution with run times of less than 10% of an exact algorithm.

论文关键词：Hazardous material,Transportation,Location-allocation,Stochastic programming

论文评审过程：Received 14 July 2015, Revised 18 December 2015, Accepted 19 December 2015, Available online 6 January 2016, Version of Record 21 January 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.12.036