信息与控制2017，Vol.46Issue(4)：408-414,7.DOI:10.13976/j.cnki.xk.2017.0408
基于量化正交交叉的量子衍生布谷鸟搜索算法
Quantum-inspired Cuckoo Search Algorithm Based on Quantitatively Orthogonal Crossover
摘要
Abstract
To enhance the optimization ability of the cuckoo search algorithm, we propose a new quantum-inspired cuckoo search algorithm by studying the implementation mechanism of the cuckoo search algorithm.The bird′s nest location in the algorithm is encoded by the quantum bits with double chains.To ensure uniform distribution of the individuals of the initial population, the quantitatively orthogonal strategy is introduced and the solution space is divided into subspaces.The size of the quantum rotation angle is achieved by Lévy flights random walk.It executes the quantitatively orthogonal crossover operation with the individuals that are discovered and mutated by Pauli-Z.The local refinement search is achieved in the orthogonal region.Simulation results of the functions′ extreme value optimization indicate that the proposed algorithm is more efficient at optimization than the standard cuckoo search algorithm.The proposed algorithm is applied to the inversion problem of shale oil multi-mineral component content, and inversion accuracy is increased by approximately 6 percent.关键词
布谷鸟搜索算法/莱维飞行/量化正交交叉/量子比特/量子衍生算法Key words
cuckoo search algorithm/Lévy flights/quantum orthogonal crossover/quantum bit/quantum inspired algorithm分类
信息技术与安全科学引用本文复制引用
刘志刚,杜娟,许少华,田伟..基于量化正交交叉的量子衍生布谷鸟搜索算法[J].信息与控制,2017,46(4):408-414,7.基金项目
国家自然科学基金资助项目(61170132) （61170132）
黑龙江省自然科学基金资助项目(F2015021) （F2015021）
