摘要
讨论了不确定优化问题的研究方法,综述了随机规划、模糊优化和区间优化这三类不确定优化问题的主要研究算法、优缺点,提出了进一步研究的发展方向。
This paper reviews the literature on optimization under uncertainty, including stochastic programming, fuzzy programming and interval programming. It analyzes the popular solution algorithms to three kinds of programming, discusses the advantages and disadvantages of these methods, and forecasts the direction of further researches.
出处
《武汉科技大学学报》
CAS
2006年第6期599-602,共4页
Journal of Wuhan University of Science and Technology
基金
湖北省教育厅自然科学重点资助项目(B200611001)
关键词
随机规划
模糊规划
区间规划
stochastic programming
fuzzy programming
interval programming
