摘要
将模糊逻辑与量子理论相结合,提出了基于模糊逻辑的量子遗传算法(FQGA)。该方法使用模糊推理机指导量子门染色体更新和变异,自适应地调整量子门旋转角和变异概率。仿真结果表明:FQGA具有全局寻优能力、收敛速度快和计算时间短等优越性。
A fuzzy quantum genetic algorithm based on fuzzy logic and quantum theory is presented.Using fuzzy logic controller,chromosomes are renovated by quantum rotating gates,mutated by quantum non-gate adaptively.Rotating angle of rotating gate and mutational probability are adjusted automatically by fuzzy controller.Simulation result indicates that the FQGA is characterized by rapid convergence,good global search capability and less computing time.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第5期37-39,68,共4页
Computer Engineering and Applications
基金
黑龙江省教育厅科学技术研究项目(No.11541325
No.11544048)
关键词
量子计算
遗传算法
模糊逻辑
数值优化
quantum computing
genetic algorithm
fuzzy logic
numerical optimization
