摘要
为满足理论研究与工程实践对非线性方程组求解的需要,综合遗传算法和牛顿迭代法各自的优势,提出了能够充分发挥遗传算法大范围搜索全局解、牛顿迭代算法在局部细致搜索的新算法。实例证明,该算法搜索效率高,求解速度快,并能获得全局近似最优解。
In order to meet theoretical research and project practice and need arising from solution to nonlinear equations, comprehensive genetic algorithm and Newtonian algorithm, this paper gives an algorithm for nonlinear equations base on Newtonian algorithm and genetic algorithm. Instance proves that this algorithm offers high search efficiency, and this method gives a near global optimal solution of the problem.
出处
《黑龙江科技学院学报》
CAS
2003年第1期43-44,47,共3页
Journal of Heilongjiang Institute of Science and Technology
关键词
算法
遗传算法
牛顿迭代法
非线性方程组
arithmetic
genetic algorithm
Newtonian algorithm
nonlinear equations
