Combined discrete-event simulation and ant colony optimisation approach for selecting optimal screening policies for diabetic retinopathy

DOI10.1007/s10287-006-0008-xzbMath1106.92029OpenAlexW2052427541MaRDI QIDQ871693

Wolfgang Zeppelzauer, Sally C. Brailsford, Walter J. Gutjahr, Marion Sabine Rauner

Publication date: 20 March 2007

Published in: Computational Management Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10287-006-0008-x

zbMATH Keywords

cost-effectiveness analysisant colony optimisationdiscrete event simulationdecision-support systemscreening for diabetic retinopathy

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59) Medical applications (general) (92C50) Discrete event control/observation systems (93C65)

Related Items (6)

On the finite-time dynamics of ant colony optimization ⋮ Combining optimization with simulation to obtain credible models for intensive care units ⋮ First steps to the runtime complexity analysis of ant colony optimization ⋮ Recent trends in metaheuristics for stochastic combinatorial optimization ⋮ Embedding optimization with deterministic discrete event simulation for assignment of cross-trained operators: an assembly line case study ⋮ Metaheuristic search techniques for multi-objective and stochastic problems: a history of the inventions of Walter J. Gutjahr in the past 22 years

Cites Work

• Algodesk: An experimental comparison of eight evolutionary heuristics applied to the quadratic assignment problem
• Simulating health systems: Modelling problems and software solutions
• A systems modelling approach for the prevention and treatment of diabetic retinopathy
• Using simulation modelling for evaluating screening services for diabetic retinopathy
• Use of discrete-event simulation to evaluate strategies for the prevention of mother-to-child transmission of HIV in developing countries

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