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广义遗传算法与高斯牛顿法结合的新方法

New United Method: Generalized Genetic Algorithm and Gauss-Newton Method

中文摘要英文摘要

鉴于遗传算法有很强的全局搜索能力,本文提出了将广义遗传算法与高斯牛顿法结合的新方法。基于基本遗传和加速遗传算法基础上考虑隔代遗传的广义遗传算法,再结合局部搜索能力极强的高斯牛顿法,高斯牛顿法极快的收敛速度将为遗传算法的运算带来更高的收敛效率和收敛精度。

In the whole solving space, Genetic Algorithm can do very well. The Gauss-Newton Method can solve the problem quickly in the local solving space. In this paper, a new united method: Generalized Genetic Algorithm and Gauss-Newton Method. Generalized Genetic Algorithm base on Genetic Algorithm and Accelerating Genetic Algorithm, it inherits ancestor’s genes and imitates trend behavior in nature. This new method considering the Gauss-Newton Method’s quickly solving speed. This united method has rapid convergence rate and high convergence precision.

李智高

数学计算技术、计算机技术

遗传算法广义遗传算法联合高斯牛顿法

genetic algorithmgeneralized genetic algorithmsunitedGauss-Newton method

李智高.广义遗传算法与高斯牛顿法结合的新方法[EB/OL].(2008-03-21)[2025-07-20].http://www.paper.edu.cn/releasepaper/content/200803-628.点此复制

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