{"title":"基于多目标多元算法的智能建筑负荷调度","authors":"Jiangyong Liu, Jiankang Liu, Lv Fan, Lingzhi Yi, Huina Song, Qingna Zeng","doi":"10.4236/EPE.2021.134B003","DOIUrl":null,"url":null,"abstract":"In the multi-objective of intelligent building load scheduling, aiming at the problem of how to select Pareto frontier scheme for multi-objective optimization algorithm, the current optimal scheme mechanism combined with multi-objective multi-verse algorithm is used to optimize the intelligent building load scheduling. The update mechanism is changed in updating the position of the universe, and the process of correction coding is omitted in the iterative process of the algorithm, which reduces the com-putational complexity. The feasibility and effectiveness of the proposed method are verified by the optimal scheduling experiments of residential loads.","PeriodicalId":62938,"journal":{"name":"能源与动力工程(英文)","volume":"50 1","pages":"19-29"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Intelligent Building Load Scheduling Based on Multi-Objective Multi-Verse Algorithm\",\"authors\":\"Jiangyong Liu, Jiankang Liu, Lv Fan, Lingzhi Yi, Huina Song, Qingna Zeng\",\"doi\":\"10.4236/EPE.2021.134B003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the multi-objective of intelligent building load scheduling, aiming at the problem of how to select Pareto frontier scheme for multi-objective optimization algorithm, the current optimal scheme mechanism combined with multi-objective multi-verse algorithm is used to optimize the intelligent building load scheduling. The update mechanism is changed in updating the position of the universe, and the process of correction coding is omitted in the iterative process of the algorithm, which reduces the com-putational complexity. The feasibility and effectiveness of the proposed method are verified by the optimal scheduling experiments of residential loads.\",\"PeriodicalId\":62938,\"journal\":{\"name\":\"能源与动力工程(英文)\",\"volume\":\"50 1\",\"pages\":\"19-29\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"能源与动力工程(英文)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4236/EPE.2021.134B003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"能源与动力工程(英文)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4236/EPE.2021.134B003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Building Load Scheduling Based on Multi-Objective Multi-Verse Algorithm
In the multi-objective of intelligent building load scheduling, aiming at the problem of how to select Pareto frontier scheme for multi-objective optimization algorithm, the current optimal scheme mechanism combined with multi-objective multi-verse algorithm is used to optimize the intelligent building load scheduling. The update mechanism is changed in updating the position of the universe, and the process of correction coding is omitted in the iterative process of the algorithm, which reduces the com-putational complexity. The feasibility and effectiveness of the proposed method are verified by the optimal scheduling experiments of residential loads.