计算机工程2011，Vol.37Issue(2)：154-156,3.DOI:10.3969/j.issn.1000-3428.2011.02.053
基于免疫量子进化算法的负载均衡策略
Load Balancing Strategy Based on Immune Quantum Evolutionary Algorithm
摘要
Abstract
In the task scheduling and allocation of cluster system, this paper presents a load balancing strategy based on Immune Quantum Evolutionary AIgorithm(IQEA). This strategy optimizes load distribution by quantum coding and quantum evolution operator. It ensures the diversity of population by using immune operator vaccinations and immune selection when quantum is into the local extremum. Simulation result shows that this strategy has higher search efficiency than the SGALB strategy, and it can improve the whole performance of cluster system effectively.关键词
免疫量子进化算法/集群系统/负载均衡/调度器Key words
Immune Quantum Evolutionary Algorithm(IQEA)/ cluster system/ load balancing/ scheduler分类
信息技术与安全科学引用本文复制引用
苏日娜,王宇..基于免疫量子进化算法的负载均衡策略[J].计算机工程,2011,37(2):154-156,3.基金项目
浙江省自然科学基金资助项目(Y1080123) （Y1080123）
浙江省教育厅基金资助项目(Y201016215) （Y201016215）
