VARIABLE POPULATION MOPSO APPLIED TO MEDICAL VISITS

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...

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Veröffentlicht in:Fuzzy Economic Review Jg. 17; H. 1; S. 3
Hauptverfasser: López, J, Lanzarini, L, Bariviera, A Fernández
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Reus International Association for Fuzzy Set Management and Economy (SIGEF) 01.05.2012
Schlagworte:
Algorithms
Decision making
Emergencies
Health care
Health care industry
Optimization techniques
Patients
Population
Studies
Vehicles
Argentina
ISSN:1136-0593, 2445-4192
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Zusammenfassung: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. [PUBLICATION ABSTRACT]
Bibliographie:ObjectType-Case Study-2
SourceType-Scholarly Journals-1
content type line 14
ObjectType-Feature-3
ObjectType-Report-1
ISSN:1136-0593
2445-4192
DOI:10.25102/fer.2012.01.01