A. Oliinyk, I. Fedorchenko, T. Zaiko, D. Goncharenko, Alexander Stepanenko, Anastasia Kharchenko
{"title":"Development of Genetic Methods of Network Pharmacy Financial Indicators Optimization","authors":"A. Oliinyk, I. Fedorchenko, T. Zaiko, D. Goncharenko, Alexander Stepanenko, Anastasia Kharchenko","doi":"10.1109/PICST47496.2019.9061396","DOIUrl":null,"url":null,"abstract":"The genetic method of multicriteria optimization with modification of the mutation operator is proposed, which is intended to solve the problem of optimization of pharmacies' financial indicators by means of evolutionary methods in the field of pharmacy business, by optimizing the process of work of the drug procurement department. Three modifications of the mutation operator were developed. A system for solving the problem of optimization of pharmacies' financial indicators as a function of the distribution of commodity groups in the pharmacy's assortment is determined, which determines such a percentage distribution of the group of goods in which the conditions will be fulfilled.","PeriodicalId":6764,"journal":{"name":"2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)","volume":"13 1","pages":"607-612"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICST47496.2019.9061396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The genetic method of multicriteria optimization with modification of the mutation operator is proposed, which is intended to solve the problem of optimization of pharmacies' financial indicators by means of evolutionary methods in the field of pharmacy business, by optimizing the process of work of the drug procurement department. Three modifications of the mutation operator were developed. A system for solving the problem of optimization of pharmacies' financial indicators as a function of the distribution of commodity groups in the pharmacy's assortment is determined, which determines such a percentage distribution of the group of goods in which the conditions will be fulfilled.