VARIABLE POPULATION MOPSO APPLIED TO MEDICAL VISITS

Q3 Economics, Econometrics and Finance
Javier H. López, L. Lanzarini, A. F. Bariviera
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引用次数: 5

Abstract

Multi-objective optimization techniques are the ideal support tools for the decision-making process. They provide a set of optimal solutions for each of the significant aspects of the problem, thus summarizing the alternatives to be considered. Having a limited number of alternatives makes it easier for decision makers to perform their tasks, since they can focus their efforts towards the analysis of the available options. In this paper, the main characteristics of multi-objective optimization are summarized, and a real experience is described regarding the optimization of mobile units assignment at a health care company in Argentina using a new method based on swarm intelligence called varMOPSO.
可变人口mopso适用于就诊
多目标优化技术是理想的决策支持工具。它们为问题的每个重要方面提供了一组最佳解决方案,从而总结了要考虑的备选方案。选择的数量有限使得决策者更容易执行他们的任务,因为他们可以集中精力分析可用的选择。本文总结了多目标优化的主要特点,并描述了阿根廷一家医疗保健公司使用基于群体智能的新方法varMOPSO优化移动单元分配的实际经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Fuzzy Economic Review
Fuzzy Economic Review Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
0.40
自引率
0.00%
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0
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