西安电子科技大学学报（自然科学版）Issue(1)：118-123,6.DOI:10.3969/j.issn.1001-2400.2015.01.019
改进混合蛙跳优化的片上网络低功耗映射算法
Improved shuffled frog-leaping algorithm for low-power network-on-chip mapping
摘要
Abstract
With the density of network-on-chip(NoC) integration getting higher,the low-power mapping has become a hotspot research.A novel shuffled frog-leaping algorithm(SFLA)is used for solving the NoC mapping problem based on the concept of adj ustment sequence.To further enhance searching capability,the proposed SFLA is improved with the adaptive chaos tactic and strategy of multi-neighborhood annealing. Experimental results shows that the improved SFLA has the advantage over the SFLA and annealing SFLA of better optimizing performance,thus reducing the communication power further.关键词
片上网络/低功耗/混合蛙跳算法/自适应混沌/模拟退火Key words
network-on-chip/low-power/shuffled frog-leaping algorithm/adaptive chaos/annealing分类
信息技术与安全科学引用本文复制引用
臧明相,王勐,周文宏,陈会仓..改进混合蛙跳优化的片上网络低功耗映射算法[J].西安电子科技大学学报（自然科学版）,2015,(1):118-123,6.基金项目
国家部委基础科研计划资助项目(A1120110007) （A1120110007）
