实数编码遗传算法中交叉算子的研究与改进

o overcome premature convergence of real-coded genetic algorithms(GAs), the common crossover operator is analyzed from aspects of individual and population. And based on further thinking of two improved crossover operator, the advantages of them are combined to propose a new crossover operator named heuristic weighted crossover operator(HWCO). Through comparison testing with Shaffer’s F6 function and De Jone f2 function, the outcome shows that the proposed operator is better than the former in convergence speed and accuracy.