通信学报2016，Vol.37Issue(9)：68-74,7.DOI:10.11959/j.issn.1000-436x.2016179
多尺度量子谐振子优化算法的并行性研究
Parallelism of multi-scale quantum harmonic oscillator algorithm
摘要
Abstract
MQHOA was a novel intelligent algorithm constructed by quantum harmonic oscillator's wave function. Sam-pling was the basic operation and main computational burden of MQHOA. The independence of sampling operation con-structs MAHOA’s parallelism. Parallel granularity was obtained by experiments of group parameter and sampling pa-rameter, and MQHOA-P was proposed. Experiments were done in a cluster of ten nodes on six standard test functions. By changing node number, function dimension and sampling parameter, experiments of MQHOA-P’s speed-up ratio were done. The experimental results show the good performance of MQHOA-P’s speed-up ratio and expansibility. MQHOA-P can be deployed and run on multiple nodes in a large-scale cluster.关键词
多尺度量子谐振子优化算法/算法并行性/加速比/并行粒度/函数优化Key words
MQHOA/algorithm parallelization/speedup/parallel granularity/functional optimization分类
信息技术与安全科学引用本文复制引用
黄焱,王鹏,程琨,刘峰..多尺度量子谐振子优化算法的并行性研究[J].通信学报,2016,37(9):68-74,7.基金项目
国家自然科学基金资助项目（No.60702075）；模式识别与智能信息处理四川省高校重点实验室开放基金资助项目（No.MSSB-2015-9）Foundation Items:The National Natural Science Foundation of China (No.60702075), Sichuan Key Laboratory Open Foundationof Pattern Recognition and Intelligent Information Processing (No.MSSB-2015-9) （No.60702075）
