Title :
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
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;
Conference_Titel :
Intelligent Systems (ICIS), 2014 Iranian Conference on
Conference_Location :
Bam
Print_ISBN :
978-1-4799-3350-1
DOI :
10.1109/IranianCIS.2014.6802581
