信息与控制2012，Vol.41Issue(3)：350-355,6.DOI:10.3724/SP.J.1219.2012.00350
采用灰色码观测的量子进化算法
A Quantum-inspired Evolutionary Algorithm Based on Gray Coding Observation
摘要
Abstract
A quantum-inspired evolutionary algorithm (QEA) based on gray code observation is proposed to overcome the large fluctuation range of quantum and low probability of continuous observation of nearby real number with binary observation mechanism in traditional QEA. Since quantum is good at global searching and gray code is good at local searching, the proposed algorithm can well balance exploration and exploitation. It can make the evolution of quantum more smooth and more efficient. Experiments show that the algorithm can avoid premature and local extreme. Meanwhile, the accuracy and convergence speed are improved.关键词
量子进化算法/Hamming悬崖/灰色码Key words
quantum-inspired evolutionary algorithm/ Hamming cliff problem/ gray code分类
信息技术与安全科学引用本文复制引用
郑建国,钱洁..采用灰色码观测的量子进化算法[J].信息与控制,2012,41(3):350-355,6.基金项目
国家自然科学基金资助项目 (70971020). （70971020）
