A multi-objective formulation of maximal covering location problem with customers’ preferences: Exploring Pareto optimality-based solutions

作者：

Highlights：

• A new multi-objective maximal covering location problem is proposed.

• Customers’ preferences for different potential facility locations are considered.

• A Pareto optimality-based multi-objective harmony search algorithm is proposed.

• NSGA-II and CPLEX optimizer are used for performance comparisons.

摘要

•A new multi-objective maximal covering location problem is proposed.•Customers’ preferences for different potential facility locations are considered.•A Pareto optimality-based multi-objective harmony search algorithm is proposed.•NSGA-II and CPLEX optimizer are used for performance comparisons.

论文关键词：Maximal covering location problem (MCLP),Multi-objective MCLP,Customers’ preferences,Multi-objective harmony search algorithm (MOHSA),NSGA II,CPLEX

论文评审过程：Received 14 April 2020, Revised 9 July 2021, Accepted 29 August 2021, Available online 4 September 2021, Version of Record 9 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115830