{"title":"Genetic Algorithm for RCPSP With Fuzzy NPV","authors":"Aleksandr M. Bulavchuk, D. Semenova","doi":"10.1109/AICT55583.2022.10013494","DOIUrl":null,"url":null,"abstract":"The paper considers a fuzzy statement of the investment project scheduling problem. Project resources are limited and presented in cash. The fuzzy net present value constitutes the optimality criterion for the problem. The GASPIA algorithm proposed by the authors and modified for the fuzzy case has been used to solve the problem. The fitness function and the rules of crossover have undergone changes. During computational experiments, solutions have been found for various parameters of the L-transform of fuzzy numbers. The stability conditions for the obtained solution are determined.","PeriodicalId":441475,"journal":{"name":"2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT55583.2022.10013494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The paper considers a fuzzy statement of the investment project scheduling problem. Project resources are limited and presented in cash. The fuzzy net present value constitutes the optimality criterion for the problem. The GASPIA algorithm proposed by the authors and modified for the fuzzy case has been used to solve the problem. The fitness function and the rules of crossover have undergone changes. During computational experiments, solutions have been found for various parameters of the L-transform of fuzzy numbers. The stability conditions for the obtained solution are determined.
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