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改进量子遗传算法求解非线性方程组
引用本文:徐红. 改进量子遗传算法求解非线性方程组[J]. 四川理工学院学报(自然科学版), 2009, 22(3): 12-14
作者姓名:徐红
作者单位:四川警察学院,四川,泸州,646000
摘    要:非线性方程组的求解在科学技术和工程应用中经常遇到。将非线性方程组的求解问题转化为函数优化问题,并应用改进量子遗传算法求解此优化问题。数值模拟的结果验证了该方法的可行性和有效性。

关 键 词:量子遗传算法  非线性方程组  函数优化

Research on Improved Quantum Genetic Algorithm to Solving Nonlinear Equation Group
XU Hong. Research on Improved Quantum Genetic Algorithm to Solving Nonlinear Equation Group[J]. Journal of Sichuan University of Science & Engineering(Natural Science Editton), 2009, 22(3): 12-14
Authors:XU Hong
Affiliation:Sichuan Police College;Luzhou 646000;China
Abstract:Solving nonlinear equation group is familiar in science technology and engineering application.The problem of solving nonlinear equation group is transformed to the function optimization problem,and improved quantum genetic algorithm is used to solving the problem.Numerical experiments show the feasibility and efficiency of this method.
Keywords:quantum genetic algorithm  nonlinear equation group  function optimization  
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