{"title":"基于人工蜂群(ABC)算法的光伏/风能/生物柴油规模优化","authors":"S. Goyal, Sachin Mishra, Anamika Bhatia","doi":"10.1109/RDCAPE.2017.8358270","DOIUrl":null,"url":null,"abstract":"The objective of this work is to have minimum cost of the overall hybrid system so that accordingly the ratings of the different components can be considering to draw the Model in MATLAB/SIMULINK as per the required load. In order to optimize, evolutionary computation is used. An algorithm Artificial Bee Colony (ABC) combination of artificial intelligent and soft computation, based on the intelligent foraging behavior of honey bee swarm, is used to minimized the cost. In scientific language, they used to solve the error based on populations.","PeriodicalId":442235,"journal":{"name":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimization of size of PV/wind/biodiesel by using Artificial Bee Colony (ABC) algorithm\",\"authors\":\"S. Goyal, Sachin Mishra, Anamika Bhatia\",\"doi\":\"10.1109/RDCAPE.2017.8358270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this work is to have minimum cost of the overall hybrid system so that accordingly the ratings of the different components can be considering to draw the Model in MATLAB/SIMULINK as per the required load. In order to optimize, evolutionary computation is used. An algorithm Artificial Bee Colony (ABC) combination of artificial intelligent and soft computation, based on the intelligent foraging behavior of honey bee swarm, is used to minimized the cost. In scientific language, they used to solve the error based on populations.\",\"PeriodicalId\":442235,\"journal\":{\"name\":\"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RDCAPE.2017.8358270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RDCAPE.2017.8358270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of size of PV/wind/biodiesel by using Artificial Bee Colony (ABC) algorithm
The objective of this work is to have minimum cost of the overall hybrid system so that accordingly the ratings of the different components can be considering to draw the Model in MATLAB/SIMULINK as per the required load. In order to optimize, evolutionary computation is used. An algorithm Artificial Bee Colony (ABC) combination of artificial intelligent and soft computation, based on the intelligent foraging behavior of honey bee swarm, is used to minimized the cost. In scientific language, they used to solve the error based on populations.
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