A multi-objective intelligent water drop algorithm to minimise cost Of goods sold and time to market in logistics networks

作者：

Highlights：

• This is the first attempt to solve the SC design problem using IWD metaheuristic.

• We modify the single-objective IWD meta-heuristic to solve a bi-objective SC design problem.

• We compare our results to the ones computed by Ant Colony Optimisation (ACO).

• We solve several instances to show the performance of our hybrid algorithm.

• Our results outperform the ones computed by ACO.

摘要

•This is the first attempt to solve the SC design problem using IWD metaheuristic.•We modify the single-objective IWD meta-heuristic to solve a bi-objective SC design problem.•We compare our results to the ones computed by Ant Colony Optimisation (ACO).•We solve several instances to show the performance of our hybrid algorithm.•Our results outperform the ones computed by ACO.

论文关键词：Logistics networks,Bill of materials,Water drop intelligence,Pareto optimality,Swarm intelligence,Bi–objective optimisation

论文评审过程：Received 28 December 2015, Revised 25 May 2016, Accepted 1 August 2016, Available online 5 August 2016, Version of Record 10 August 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.08.003