R2-IBMOLS applied to a practical case of the multiobjective knapsack problem
作者：
Highlights：
• We consider an action plan optimization problem in social and medico-social sector.
• The multiobjective knapsack model is used to formulate the studied application.
• Iterated local search based on quality indicators is adopted as the solution method.
• Computational results are reported on 30 simulated pseudo-real data.
• The proposed approach proves to be a valuable tool to assist the decision maker.
摘要
•We consider an action plan optimization problem in social and medico-social sector.•The multiobjective knapsack model is used to formulate the studied application.•Iterated local search based on quality indicators is adopted as the solution method.•Computational results are reported on 30 simulated pseudo-real data.•The proposed approach proves to be a valuable tool to assist the decision maker.
论文关键词：Action planning,Multiobjective optimization,Decision support,Heuristics
论文评审过程：Received 30 July 2016, Revised 2 November 2016, Accepted 3 November 2016, Available online 3 November 2016, Version of Record 23 December 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.11.007
