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Variable population MOPSO applied to medical visits

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López, Javier

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Material type: Article

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Summary: 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.

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Item type	Home library	Collection	Call number	URL	Status	Date due	Barcode
Capítulo de libro	Biblioteca de la Facultad de Informática	Biblioteca digital	A0355 (Browse shelf(Opens below))	Link to resource	No corresponde

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Previous	A0352 Una estrategia de integración de modelos de objetivos con análisis comunicacional	A0353 Evolutionary multiobjective optimization for emergency medical services	A0354 Modelling adaptations requirements in web workflows	A0355 Variable population MOPSO applied to medical visits	A0356 Particle swarm optimization with oscillation control	A0357 AuthorAR : authoring tool for building educational activities based on augmented reality	A0358 Compatible operations on commutative residuated lattices	Next

Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)

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.

Fuzzy economic review 17(1), pp.3-14.