%0 Journal Article
%T HYBRID GENETIC ALGORITHMS OF GLOBAL OPTIMUM FOR OPTIMIZATION PROBLEMS<br>最优化问题全局寻优的混合遗传算法
%A Wang Denggang
%A <br>王登刚
%A 刘迎曦
%A 李守巨
%J 力学学报
%D 2002
%I 
%X Based on the BFGS method and real-code genetic algorithms, a hybrid computa-tional intellective algorithm has been established by setting BFGS method in real-code geneticalgorithms. In the given hybrid genetic algorithm, the BFGS method is taken as a geneticoperator which parallels to the select, crossover and mutation operators. The hybrid algorithmhas paid attention to both the advantages of BFGS method and genetic algorithms. It not onlyhas a rather high convergence speed, but also can locate the global optimum with a rather largeprobability. Numerical results show that the present algorithm is a promising approach for solvingglobal optimization problems.
%K global optimum
%K hybrid algorithms
%K genetic algorithms
%K BFGS method
%K nonlinearprogramming problems<br>全局最优
%K 混合算法
%K 遗传算法
%K BFGS方法
%K 非线性规划
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=5D344E2AD54D14F8&jid=4100DA4A1A3BA1B0CE5AD99AE1DFB420&aid=BC119EA04E0BAD6C6558887D5672AED1&yid=C3ACC247184A22C1&vid=339D79302DF62549&iid=38B194292C032A66&journal_id=0459-1879&journal_name=力学学报&referenced_num=3&reference_num=0