A genetic-fuzzy system approach to control a model of the HIV infection dynamics

被引：7
|
作者：
Melgarejo, Miguel A. [1 ]
Pena-Reyes, Carlos A. [2 ]
Sanchez, Eduardo [3 ]
机构：
[1] EPFL, Zurich, Switzerland
[2] Novartis Inst Biomedical Res, Basel, Switzerland
[3] Ecole Polytech Fed Lausanne, Lausanne, Switzerland
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2006年
关键词：
D O I：
10.1109/FUZZY.2006.1682023
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a genetic fuzzy system approach to control a nonlinear dynamic model of the HIV infection. The system is conceived to find mamdani fuzzy controllers that are capable of boosting the immune response while reducing the impact on the body because of the use of potentially toxic medicaments. General aspects of the used approach are described while special emphasis is given to the evolutionary mechanism. The best solution found from several evolutionary runs is analyzed in terms of control and interpretability issues.
引用
收藏
页码：2323 / +
页数：2
相关论文
共 50 条
  • [41] Application of genetic-fuzzy approach for estimation of nano ZSM-5 crystallinity
    Soltanali, Saeed
    Halladj, Rouein
    Tayyebi, Shokoufe
    Rashidi, Alimorad
    MATERIALS LETTERS, 2015, 150 : 39 - 43
  • [42] Evolutionary Soft Computing Model Using Genetic-Fuzzy Classifier in Intrusion Detection
    Zhou, Yu-Ping
    Fang, Jian-An
    Yu, Dong-Mei
    PROCEEDINGS OF 2008 INTERNATIONAL COLLOQUIUM ON ARTIFICIAL INTELLIGENCE IN EDUCATION, 2008, : 247 - 251
  • [43] Design of a genetic-fuzzy system to predict surface finish and power requirement in grinding
    Nandi, AK
    Pratihar, DK
    FUZZY SETS AND SYSTEMS, 2004, 148 (03) : 487 - 504
  • [44] Optimal model detection in distributed sensor networks using genetic-fuzzy clustering
    Korjani, Mohammad Mehdi
    Afshar, Ahmad
    Menhaj, Mohammad Bagher
    Rajati, Mohammad Reza
    2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 2817 - +
  • [45] Genetic-fuzzy logic model for a non-invasive measurement of a stroke volume
    Ahmedov, Shahin
    Amirjanov, Adil
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 203
  • [46] Control of HIV infection dynamics
    Control and Power Research Group, Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, London SW7 2AZ, United Kingdom
    不详
    IEEE Control Systems Magazine, 2008, 28 (02): : 28 - 39
  • [47] Control of HIV infection dynamics
    Chang, Hyeygjeon
    Astolfi, Alessandro
    IEEE CONTROL SYSTEMS MAGAZINE, 2008, 28 (02): : 28 - 39
  • [48] Learning to avoid moving obstacles optimally for mobile robots using a genetic-fuzzy approach
    Deb, K
    Pratihar, DK
    Ghosh, A
    PARALLEL PROBLEM SOLVING FROM NATURE - PPSN V, 1998, 1498 : 583 - 592
  • [49] A Divide-and-Conquer Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
    Chen, Chun-Hao
    Hong, Tzung-Pei
    Tseng, Vincent S.
    2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2008, : 1233 - +
  • [50] Fuzzy Modeling and Control of HIV Infection
    Zarei, Hassan
    Kamyad, Ali Vahidian
    Heydari, Ali Akbar
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2012, 2012
12345