HYBRID GENETIC ALGORITHMS OF GLOBAL OPTIMUM FOR OPTIMIZATION PROBLEMS
最优化问题全局寻优的混合遗传算法

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.