Multiobjective Optimization in Health Care Management. A metaheuristic and simulation approach.
AbstractThis paper describes a methodology which combines elements of statistics, probability, mathematical programming, simulation, multiobjective optimization and metaheuristics, to analyze management problems in a health care context. We apply this approach to a stafﬁng problem in a primary care center, taking into account both cost and service quality criteria. We illustrate our approach with a case study.
How to Cite
Azcárate, C., Mallor, F., & Gafaro, A. (2008). Multiobjective Optimization in Health Care Management. A metaheuristic and simulation approach. Algorithmic Operations Research, 3(2). Retrieved from https://journals.lib.unb.ca/index.php/AOR/article/view/9704