{"title":"基于NSIWO的HIV药物剂量调度多目标优化策略","authors":"Arezoo Vafamand, Amirhossein Nikoofard","doi":"10.1109/ICBME.2018.8703499","DOIUrl":null,"url":null,"abstract":"Nowadays, the Human Immunodeficiency Virus (HIV) does not have a certain cure and current treatment can only control the virus. In recent years, highly active antiretroviral therapy (HAART) is used for the treatment. Since HAART has also undesirable side effects, there is a trade-off in its dosage. To control the illness and minimize the side effects, a multi-objective problem can be solved for a treatment plan. Therefore, this paper presents multi-objective treatment strategies for HIV. Two cost functions are defined. One for drug dosage treatment and one for the concentration of CD4. The multi-objective problem was solved by NSGA-II and NSIWO, to produce optimal control inputs. The Pareto frontier suggested optimal strategies which the regime is selected depending on the circumstance. The performance of the NSIWO and NSGA-II to find the Pareto front for this multi-objective problem is investigated.","PeriodicalId":338286,"journal":{"name":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-Objective Optimal Strategies For HIV Drug Dosage Scheduling Using NSIWO\",\"authors\":\"Arezoo Vafamand, Amirhossein Nikoofard\",\"doi\":\"10.1109/ICBME.2018.8703499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, the Human Immunodeficiency Virus (HIV) does not have a certain cure and current treatment can only control the virus. In recent years, highly active antiretroviral therapy (HAART) is used for the treatment. Since HAART has also undesirable side effects, there is a trade-off in its dosage. To control the illness and minimize the side effects, a multi-objective problem can be solved for a treatment plan. Therefore, this paper presents multi-objective treatment strategies for HIV. Two cost functions are defined. One for drug dosage treatment and one for the concentration of CD4. The multi-objective problem was solved by NSGA-II and NSIWO, to produce optimal control inputs. The Pareto frontier suggested optimal strategies which the regime is selected depending on the circumstance. The performance of the NSIWO and NSGA-II to find the Pareto front for this multi-objective problem is investigated.\",\"PeriodicalId\":338286,\"journal\":{\"name\":\"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBME.2018.8703499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBME.2018.8703499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Objective Optimal Strategies For HIV Drug Dosage Scheduling Using NSIWO
Nowadays, the Human Immunodeficiency Virus (HIV) does not have a certain cure and current treatment can only control the virus. In recent years, highly active antiretroviral therapy (HAART) is used for the treatment. Since HAART has also undesirable side effects, there is a trade-off in its dosage. To control the illness and minimize the side effects, a multi-objective problem can be solved for a treatment plan. Therefore, this paper presents multi-objective treatment strategies for HIV. Two cost functions are defined. One for drug dosage treatment and one for the concentration of CD4. The multi-objective problem was solved by NSGA-II and NSIWO, to produce optimal control inputs. The Pareto frontier suggested optimal strategies which the regime is selected depending on the circumstance. The performance of the NSIWO and NSGA-II to find the Pareto front for this multi-objective problem is investigated.
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