摘要
为解决现有工程项目信息管理系统信息搜索效率低和算法优化效果差等问题,提出了一种基于线性递减步骤和逻辑混沌映射的改进果蝇优化算法。将果蝇优化算法的固定步骤更改为线性递减步骤,提高果蝇优化算法的准确性。同时,采用逻辑混沌映射可以削弱优化解决方案初始条件的敏感性,提高果蝇优化算法的稳定性。试验结果表明,平均数据搜索效率达到95%。
In order to solve the problems of low information search efficiency and poor algorithm optimization effect in the existing engineering project information management systems, an improved fruit fly optimization algorithm based on linear decreasing steps and logical chaotic mapping was proposed, the accuracy of the fruit fly optimization algorithm was improved by changing the fixed step of the fruit fly optimization algorithm to a linearly decreasing step. At the same time, the use of logical chaotic mapping can weaken the sensitivity of the initial conditions of the optimization solution and improve the stability of the fruit fly optimization algorithm. Experimental results show that the average data search efficiency reaches 95%.
作者
张建浩
任核权
章剑光
谢天祥
胡丹
Zhang Jianhao;Ren Hequan;Zhang Jianguang;Xie Tianxiang;Hu Dan(Institute of Electric Power Economics and Technology,State Grid Shaoxing Electric Power Bureau,Shaoxing Zhejiang 312000,China;Shaoxing Daming Electic Powver Design Institute Co.,Lid.,Shaoxing Zhejiang 312000,China)
出处
《电气自动化》
2022年第3期57-59,63,共4页
Electrical Automation
关键词
工程项目
信息管理
线性递减
果蝇优化算法
逻辑混沌映射
engineering project
information management
linear decreasing
fruit fly optimization algorithm
logical chaos mapping
