摘要
将遗传算法与旋转正交法结合起来 .在对种群进行操作的过程中 ,通过旋转正交法将问题可行域的不同正交子空间的最优个体不断引入到种群中 ,提高遗传算法的搜索效率和稳定性 。
By combining genetic algorithm and rotating orthogonal design, a new algorithm is proposed in this paper. Besides the genetic operations, the best individual of each orthogonal sub feasible area is added into the population. Experiments showed that the new algorithm is more efficient and stable than simple genetic algorithm, especially in multi\|apex problem.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2002年第4期75-84,共10页
Systems Engineering-Theory & Practice
基金
中国科学技术大学创建基金 ( KY2 5 0 1 )
关键词
遗传算法
旋转正交设计
计算模型
genetic algorithm
orthogonal design
rotating orthogonal design
