计算机应用研究2013，Vol.30Issue(6)：1708-1711,4.DOI:10.3969/j.issn.1001-3695.2013.06.027
基于混沌优化策略的SFLA算法
Improved SFLA based on chaos optimization strategy
摘要
Abstract
Based on the problems of the shuffled frog leaping algorithm (SFLA),this paper presented the improved SFLA.It proposed the mechanism based on mutation idea in differential evolution in order to balance algorithm search depth,and adopted Gaussian mutation to replace the original SFLA update strategy,which improved the convergence speed.Based on the chaos optimization strategy,it optimized the best solution in the form of probability,and avoided local optimum.It proved the improved SFLA to be converged to the global optimization solution with probability one.Finally with MATLAB,it implemented test function simulations.The simulation results show that the improved SFLA has better performance in the convergence speed and optimization precision.关键词
混沌优化策略/混合蛙跳算法/收敛性/MATLABKey words
chaos optimization strategy/ shuffled frog leaping algorithm(SFLA) / convergence/ MATLAB分类
信息技术与安全科学引用本文复制引用
张海玉,刘军,刘志都..基于混沌优化策略的SFLA算法[J].计算机应用研究,2013,30(6):1708-1711,4.基金项目
河南省基础与前沿技术研究基金资助项目(112300410225) （112300410225）
河南省重点攻关基金资助项目(112102210408) （112102210408）
