计算机与数字工程2017，Vol.45Issue(5)：797-802,6.DOI:10.3969/j.issn.1672-9722.2017.05.002
量子衍生萤火虫搜索算法
Quantum-Inspired Firefly Search Algorithm
摘要
Abstract
In order to improve the search ability of firefly search algorithm,by introducing the quantum computing mechanism into the classical firefly search algorithm,a quantum-inspired firefly search algorithm is proposed. In the proposed algorithm,the qubits are used to encode individuals,the Pauli matrixes are employed to determine rotation axis,the firefly flight principle is app?plied to obtian rotation angle,and the rotation of the qubits on the Bloch sphere is used to update the individuals. The experimental results of extreme optimization of benchmark test functions show that the proposed algorithm is obviously superior to the classical firefly search algorithm in optimization ability.关键词
仿生智能优化/群智能优化/萤火虫算法/量子衍生优化/算法设计Key words
bionic intelligent optimization/swarm intelligence optimization/firefly algorithm/quantum-inspired optimiza⁃tion/algorithm design分类
信息技术与安全科学引用本文复制引用
刘显德,于瑞芳,李滨旭,赵思远,李盼池..量子衍生萤火虫搜索算法[J].计算机与数字工程,2017,45(5):797-802,6.基金项目
国家自然科学基金(编号:61502094) （编号:61502094）
黑龙江省自然科学基金(编号:F2015021) （编号:F2015021）
东北石油大学研究生创新科研项目(编号:YJSCX2016-030NEPU)资助. （编号:YJSCX2016-030NEPU）
