摘要
量子遗传算法是一种高效的并行算法,但它易陷入局部极值。提出一种分组量子遗传算法,通过分层、分组等方法,保证了染色体的多样性。典型函数测试结果表明,分组量子遗传算法具有全局最优性,其性能优于其它几种遗传算法和 QGA。
Quantum genetic algorithm is an efficient parallel algorithm,but it drops into local optimum easi-
ly. Classified quantum genetic algorithm assures the diversities of chromosome by delaminated and classi-
fied. The results from typical function test demonstrate that it can converge in global space and the conver-
gence speed of it is faster than other QGA.
出处
《西南科技大学学报》
CAS
2004年第1期18-21,36,共5页
Journal of Southwest University of Science and Technology
