计算机工程与应用Issue(10)：58-61,71,5.DOI:10.3778/j.issn.1002-8331.1203-0228
自适应混合变异的蛙跳算法
Adaptive shuffled frog leaping algorithm adopting mixed mutation
摘要
Abstract
Shuffled Frog Leaping Algorithm(SFLA)is a new group evolutionary algorithm prompted by the natrural biological phenomena, and it has fast calculation speed and strong search capability. But its local search ability is weak and it is easily caught in prematrue convergence. Combining with the advantages of Cauchy mutation and Gaussian mutation, a modified SFLA (MSFLA)is proposed to overcome the shortcoming. The MSFLA’s convergence speed is enhanced and the pheonomena that SFLA is trapped in local optimal solution will be avoided to a certain extent, so its ability of problem sloving for complex func-tions is improved. And experimental results prove the validity of the new SFLA.关键词
混合蛙跳算法/早熟收敛/高斯变异/柯西变异/优化Key words
Shuffled Frog Leaping Algorithm/premature convergence/Gaussian mutation/Cauchy mutation/optimization分类
信息技术与安全科学引用本文复制引用
李晶晶,戴月明..自适应混合变异的蛙跳算法[J].计算机工程与应用,2013,(10):58-61,71,5.基金项目
国家自然科学基金（No.61170120）；江南大学自主科研计划资助项目（No.JUSRP111A45）。 （）
