摘要
从传统的搜索、优化方法入手,分析了遗传算法对复杂、多峰函数优化的有效性;简单介绍了遗传算法;并归纳出从优化问题转化到用遗传算法求解的转化思路;最后,通过对一个多峰函数优化的遗传算法求解,验证了此方法在全局优化、鲁棒性等方面的更有效性。
Most of traditional search and optimization methods do not serve in any case. In this paper, we analyze the validity of genetic algorithm used to optimize complex and multi-apex function and induce the route of turning general optimization problem to genetic algorithm solution by introducing genetic algorithm briefly. Finally, the effect of GA in global optimization and robust by a case of multi - apex function optimization is tested.
出处
《郑州航空工业管理学院学报（管理科学版）》
2003年第2期14-16,共3页
Journal of Zhengzhou Institute of Aeronautical Industry Management
基金
国家自然科学基金(7000200)
航空科学基金(00J55005)
