VARIABLE POPULATION MOPSO APPLIED TO MEDICAL VISITS

Javier Lopez, Laura Lanzarini and Aurelio Fernandez Bariviera
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Javier Lopez: III-LIDI (Institute of Research in Computer Science III-LIDI), National University of La Plata, Argentina
Laura Lanzarini: III-LIDI (Institute of Research in Computer Science III-LIDI), National University of La Plata, Argentina

Fuzzy Economic Review, 2012, vol. XVII, issue 1, 3-14

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.

Keywords: customer evolutionary computation; swarm intelligence; particle swarm optimization; multi-objective function optimization (search for similar items in EconPapers)
JEL-codes: C39 G33 (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:fzy:fuzeco:v:xvii:y:2012:i:1:p:3-14

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