摘要
随着云计算的快速发展,虚拟机性能优化成为一个重要的研究领域。为了优化虚拟机部署,文章基于分组遗传算法提出一种负载均衡遗传算法(Load Balancing Genetic Algorithm,LBGA),并从3个方面定义评价函数,通过加权方法定义适应度函数。为了快速有效地获取近似最优解,优化了交叉与变异操作。
With the rapid development of cloud computing,virtual machine performance optimization has become an important research field.In order to optimize the deployment of virtual machines,this paper proposes a virtual machine scheduling algorithm,Load Balancing Genetic Algorithm(LDBC),which defines the evaluation function from three aspects and defines the fitness function through the weighting method.The crossover and variant operation is optimized to obtain the approximate optimal solution quickly and efficiently.
作者
张瑾
ZHANG Jin(Henan Institute of Chemical Technology,Kaifeng Henan 475000,China)
出处
《信息与电脑》
2024年第4期78-80,共3页
Information & Computer
关键词
负载均衡遗传算法(LBGA)
适应度函数
交叉
变异
Load Balancing Genetic Algorithm(LBGA)
fitness function
cross connection
heteromorphosis
