{"title":"组播优化:运筹学理论与应用","authors":"Omid Akbarzadeh Pivehzhani, Mostafa Karami, Nazanin Fasihihour, Mohammed Alghanim, Sahand Hamzehei","doi":"10.1109/EICEEAI56378.2022.10050486","DOIUrl":null,"url":null,"abstract":"The primary goal of multicasting routing is to transport data from one or more sources to several destinations while simultaneously making the most efficient use of the available resources. This may be accomplished by routing the data. Bandwidth, time, and connection expenses are a few examples of resources that may potentially have their usage reduced. In this paper, we try to optimize multicast routing. We discuss the important problem and a solution considered in this area and their mathematical models. A Phyton emulation for the main problem and solution are also investigated.","PeriodicalId":426838,"journal":{"name":"2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multicast Optimization: Operational Research Theory and Applications\",\"authors\":\"Omid Akbarzadeh Pivehzhani, Mostafa Karami, Nazanin Fasihihour, Mohammed Alghanim, Sahand Hamzehei\",\"doi\":\"10.1109/EICEEAI56378.2022.10050486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The primary goal of multicasting routing is to transport data from one or more sources to several destinations while simultaneously making the most efficient use of the available resources. This may be accomplished by routing the data. Bandwidth, time, and connection expenses are a few examples of resources that may potentially have their usage reduced. In this paper, we try to optimize multicast routing. We discuss the important problem and a solution considered in this area and their mathematical models. A Phyton emulation for the main problem and solution are also investigated.\",\"PeriodicalId\":426838,\"journal\":{\"name\":\"2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EICEEAI56378.2022.10050486\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EICEEAI56378.2022.10050486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multicast Optimization: Operational Research Theory and Applications
The primary goal of multicasting routing is to transport data from one or more sources to several destinations while simultaneously making the most efficient use of the available resources. This may be accomplished by routing the data. Bandwidth, time, and connection expenses are a few examples of resources that may potentially have their usage reduced. In this paper, we try to optimize multicast routing. We discuss the important problem and a solution considered in this area and their mathematical models. A Phyton emulation for the main problem and solution are also investigated.