摘要
本文提出了一种类遗传算子QGO (Quasi Genetic Operator),用于解决传统遗传算法CGA(Canonical Genetic Algorithm)搜索效率较低的问题。文中最后论述了用该算法解决异构机群系统中的任务分布问题的可能性。
In this paper, a Quasi Genetic Operator (QGO) is presented in order to improve Canonical Genetic Algorithm (CGA) which efficiency of searching is slow. In the last part, the possibility of distributing tasks with CGA in multiprocessor system with many different structures is discussed.
出处
《青岛大学学报（自然科学版）》
CAS
2001年第3期34-39,共6页
Journal of Qingdao University(Natural Science Edition)
