西北师范大学学报（自然科学版）2017，Vol.53Issue(1)：53-58,64,7.DOI:10.16783/j.cnki.nwnuz.2017.01.009
改进双链量子遗传算法及其应用
Improved double chain quantum genetic algorithm and its applications
摘要
Abstract
Traditional double chain quantum genetic algorithm suffers from low search speed,low search precision,poor population diversity and easy premature, an improved double chain quantum genetic algorithm is proposed.Adaptive step coefficient is introduced,which changes the step with the object function gradient at the search point;Hεgate is used when chromosome population is updated;π/3 gate is used on chromosome mutation. The validity of the algorithm is tested by comparing with the several algorithms using 7 typical test functions.关键词
双链量子遗传算法/自适应步长/量子门/π/3 门Key words
double chain quantum genetic algorithm/Adaptive step/Quantum gates/π/3 gate分类
信息技术与安全科学引用本文复制引用
马永杰,李积雅,王刚成..改进双链量子遗传算法及其应用[J].西北师范大学学报（自然科学版）,2017,53(1):53-58,64,7.基金项目
国家自然科学基金资助项目(41461078) （41461078）
国家自然科学基金,进化计算类智能算法在数据同化误差处理中的应用研究(41461078) （41461078）
