Multi-objective optimal HIV therapy based on a new model of infection dynamics

Author

Heris, S. Mostapha Kalami ; Khaloozadeh, Hamid

Author_Institution

Control Eng. Dept., K.N. Toosi Univ. of Technol., Tehran, Iran

fYear

2014

fDate

4-6 Feb. 2014

Firstpage

1

Lastpage

5

Abstract

Different types of models have been introduced and utilized to analyze the AIDS dynamics. Combining the properties of previous basic models, in this paper, a new model of infection is proposed. It is assumed that HAART is available for treatment of AIDS. Amount of drug usage and the quality of treatment, are defined as two objectives of a bi-objective optimization problem, and NSGA-II is used to solve this problem. Pareto frontier, resulted from the optimization process, suggests a set of treatment strategies, which all are optimal from a perspective, and can be used in different medical and economical situations.

Keywords

diseases; genetic algorithms; patient treatment; AIDS dynamics; Acquired Immune Deficiency Syndrome; HAART; Human Immunodeficiency Virus; NSGA-II; Pareto frontier; bi-objective optimization problem; drug usage amount; highly active anti-retroviral therapy; infection dynamics model; multiobjective optimal HIV therapy; nondominated sorting genetic algorithm II; treatment quality; Computational modeling; Drugs; Human immunodeficiency virus; Immune system; Mathematical model; Optimization; Viruses (medical); HIV Infection; Multiobjective Optimal Control; Multiobjective Optimization; NSGA-II; Optimal Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems (ICIS), 2014 Iranian Conference on

Conference_Location

Bam

Print_ISBN

978-1-4799-3350-1

Type

conf

DOI

10.1109/IranianCIS.2014.6802581

Filename

6802581