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

Lin Chen, Ping Li
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引用次数: 0

摘要

随着高等学校建设的迅速兴起,高校水电智能化与信息管理的建设显得越来越重要。高校水电建设相对滞后是制约高校水电建设的瓶颈之一。目前,全世界都面临着水电资源短缺的危机。在高校管理中,由于人群多、作息时间规律等特点,水电智能管理系统具有先天的应用条件。基础设施建设的新兴趋势。在高等学校快速发展和进步的背景下,高校水电管理需要逐步实现信息化和智能化。否则就会出现能源负荷需求制约教学科研发展的问题,同时也会严重拖延高校信息化管理的有效水平。改善。本文采用的手段是粒子蜂群仿生算法,使算法的迭代搜索过程成为不断利用个体极值和群体极值对优化搜索过程进行修改的过程,实现了个体与群体之间的消息交换和相互合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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