{"title":"基于粒子蜂群仿生算法的高校水电管理信息化智能系统构建","authors":"Lin Chen, Ping Li","doi":"10.1109/ACEDPI58926.2023.00025","DOIUrl":null,"url":null,"abstract":"With the rapid burgeon of superior schooling, the construction of hydropower intelligence and message management in colleges is becoming more and more important. The relative lag in the burgeon of hydropower in colleges is one of the bottlenecks restricting the burgeon of colleges. At present, the whole world is facing the crisis of lack of hydropower resources. In the management of colleges, due to the characteristics of large crowds and regular work and rest hours, the intelligent management system of hydropower has innate application conditions. The burgeon trend of infrastructure construction. Under the background of rapid burgeon and progress of superior schooling, hydropower management in colleges needs to gradually realize informatization and intelligence. Otherwise, the problem of energy load demand restricting the burgeon of teaching and scientific research will occur, and at the same time, it will seriously delay the effective level of informatization management in colleges. improve. The means used in this paper is the particle bee colony bionic algorithm, which makes the iterative search process of the algorithm a process of continuously using the individual extreme value and the group extreme value to modify the optimization search process, and realizes the message exchange and mutual cooperation between the individual and the group.","PeriodicalId":124469,"journal":{"name":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Construction of an Intelligent System for Hydropower Management Informatization in Colleges Based on Particle Bee Colony Bionic Algorithm\",\"authors\":\"Lin Chen, Ping Li\",\"doi\":\"10.1109/ACEDPI58926.2023.00025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid burgeon of superior schooling, the construction of hydropower intelligence and message management in colleges is becoming more and more important. The relative lag in the burgeon of hydropower in colleges is one of the bottlenecks restricting the burgeon of colleges. At present, the whole world is facing the crisis of lack of hydropower resources. In the management of colleges, due to the characteristics of large crowds and regular work and rest hours, the intelligent management system of hydropower has innate application conditions. The burgeon trend of infrastructure construction. Under the background of rapid burgeon and progress of superior schooling, hydropower management in colleges needs to gradually realize informatization and intelligence. Otherwise, the problem of energy load demand restricting the burgeon of teaching and scientific research will occur, and at the same time, it will seriously delay the effective level of informatization management in colleges. improve. The means used in this paper is the particle bee colony bionic algorithm, which makes the iterative search process of the algorithm a process of continuously using the individual extreme value and the group extreme value to modify the optimization search process, and realizes the message exchange and mutual cooperation between the individual and the group.\",\"PeriodicalId\":124469,\"journal\":{\"name\":\"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACEDPI58926.2023.00025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACEDPI58926.2023.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Construction of an Intelligent System for Hydropower Management Informatization in Colleges Based on Particle Bee Colony Bionic Algorithm
With the rapid burgeon of superior schooling, the construction of hydropower intelligence and message management in colleges is becoming more and more important. The relative lag in the burgeon of hydropower in colleges is one of the bottlenecks restricting the burgeon of colleges. At present, the whole world is facing the crisis of lack of hydropower resources. In the management of colleges, due to the characteristics of large crowds and regular work and rest hours, the intelligent management system of hydropower has innate application conditions. The burgeon trend of infrastructure construction. Under the background of rapid burgeon and progress of superior schooling, hydropower management in colleges needs to gradually realize informatization and intelligence. Otherwise, the problem of energy load demand restricting the burgeon of teaching and scientific research will occur, and at the same time, it will seriously delay the effective level of informatization management in colleges. improve. The means used in this paper is the particle bee colony bionic algorithm, which makes the iterative search process of the algorithm a process of continuously using the individual extreme value and the group extreme value to modify the optimization search process, and realizes the message exchange and mutual cooperation between the individual and the group.