计算机与数字工程2019，Vol.47Issue(7)：1591-1595,5.DOI:10.3969/j.issn.1672-9722.2019.07.007
基于灾变因子的量子遗传算法研究
Research of Quantum Genetic Algorithm Based on Catastrophe Factor
张秋艳 1王默玉 1申晓留 1武书舟 1闫丽娜 1曹柳青1
作者信息
- 1. 华北电力大学控制与计算机工程学院 北京 102206
- 折叠
摘要
Abstract
This paper firstly introduces the theory of the concept of intelligent optimization algorithm,then focuses on the prin?ciple of quantum genetic algorithm,the definition and description of the reasonable process of quantum genetic algorithm from the point of view of mathematics,then propose a quantum genetic algorithm based on catastrophe factor,to solve the problem of imma?ture convergence. Finally,the Matlab code of the algorithm to realize the simulation test of 3 peak functions is written. The quantum genetic algorithm based on catastrophe factor is compared with the standard genetic algorithm respectively. Through the test result, the quantum genetic algorithm based on catastrophe factor has better accuracy than the genetic algorithm in the optimization of the peak function. This shows the feasibility and effectiveness of quantum genetic algorithm based on catastrophe factor in continuous space optimization,and it also has a good application prospect.关键词
量子遗传算法/优化分析/遗传算法/灾变因子Key words
quantum genetic algorithm/optimization analysis/genetic algorithm/catastrophe factor分类
数理科学引用本文复制引用
张秋艳,王默玉,申晓留,武书舟,闫丽娜,曹柳青..基于灾变因子的量子遗传算法研究[J].计算机与数字工程,2019,47(7):1591-1595,5.
