摘要
针对量子遗传算法的"早熟"现象,在多峰值函数的寻优中,提出了基于精英的量子遗传算法。该算法不仅考虑函数值与当前最优值的关系,还考虑函数值所对应的自变量与当前最优值所对应自变量的关系。仿真实验表明,该算法对于多峰值函数具有很好的寻优能力。
Aiming at the ＂precocity＂ of quantum genetic arithmetic, this paper presents quantum genetic arithmetic based on elite reserving. This arithmetic has not only related to the relationship between the function answer and the current best answer, but also to the corresponding self-changing amount between the function answer and the current best answer. The numerical test indicates that this arithmetic is very effective for the various-humped function optimum answer.
出处
《海军工程大学学报》
CAS
北大核心
2010年第1期5-7,38,共4页
Journal of Naval University of Engineering
基金
国家自然科学基金资助项目(70471031)
关键词
遗传算法
量子遗传算法
精英保留
genetic arithmetic
quantum genetic arithmetic
elite reserving
