Evolutionary Algorithm for Optimal Vaccination Scheme

2nd International Conference on Mathematical Modeling in Physical Sciences 2013

物理学;数学

Parousis-Orthodoxou, K.J.^1 ; Vlachos, D.S.^1

Department of Computer Science and Technology, Faculty of Sciences and Technology, University of Peloponnese, GR-221 00 Tripolis, Greece^1

关键词: Crossover and mutation;    Dynamic capabilities;    Epidemic spreading;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/490/1/012027/pdf
DOI  :  10.1088/1742-6596/490/1/012027

来源: IOP

【 摘 要 】

The following work uses the dynamic capabilities of an evolutionary algorithm in order to obtain an optimal immunization strategy in a user specified network. The produced algorithm uses a basic genetic algorithm with crossover and mutation techniques, in order to locate certain nodes in the inputted network. These nodes will be immunized in an SIR epidemic spreading process, and the performance of each immunization scheme, will be evaluated by the level of containment that provides for the spreading of the disease.