A new hybrid genetic algorithm to solve nonlinear optimal problem

被引：0
|
作者：
Zhou, Li [1 ]
Miao, Ting [1 ]
Bao, Yongping [1 ]
Li, Jianguo [1 ]
机构：
[1] Ludong Univ, Sch Management, Yantai 264025, Peoples R China
来源：
Information, Management and Algorithms, Vol II | 2007年
关键词：
nonlinear optimal problem; the optimal solution; real code; Rosenbrock algorithm; genetic algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new hybrid genetic algorithm to solve non-differentiable nonlinear optimization problems. The new algorithm combines Rosenbrock algorithm with real-code Genetic algorithm, so it not only has the strong searching ability in the whole solution space but also has the accurate searching capability in the local solution space. Compared with the other hybrid genetic algorithm, it has both the accelerate convergence speed and the accurate solution effect. Application analyses show that the new algorithm is an effective solution method in solving nonlinear optimization problems.
引用
收藏
页码：200 / 203
页数：4
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