STUDY OF GENETIC ALPOEX ALGORITHMS FOR SEEKING THE GLOBAL OPTIMIZATION

Directed at the weak capacity of climbing hill of genetic algorithm, we improve the standard genetic algorithm. The hybrid algorithms of genetic algorithm and algorithm of pattern extraction were brought out. The algorithm sufficiently shows the advantages of the two algorithms. The results for test function show that hybrid algorithm improves the computing speed and computing precision of genetic algorithms.