计算机应用与软件2017，Vol.34Issue(6)：262-266,308,6.DOI:10.3969/j.issn.1000-386x.2017.06.047
基于改进果蝇算法求解混合整数非线性规划问题
SOLVING MIXED INTEGER NONLINEAR PROGRAMMING BASED ON THE IMPROVED FRUIT FLIES ALGORITHM
摘要
Abstract
There are many MINLP problems in the design of science and engineering systems, which are rich in variables and have many constraints and are difficult to solve.Therefore, this paper proposes an improved fruit flies algorithm.The algorithm uses different strategies to update different types of variables, and uses the periodic step function to guide the optimization of FOA so as to avoid falling into local optimization.Compared with the other two commonly used algorithms in terms of stability, convergence speed and so on, experimental results show that the improved fruit flies algorithm can effectively solve the MINLP problems.关键词
混合整数非线性规划/智能计算/果蝇算法Key words
Mixed integer nonlinear programming/Smart computing/Fruit flies algorithm分类
信息技术与安全科学引用本文复制引用
朱志同,赵阳,李炜,郭星..基于改进果蝇算法求解混合整数非线性规划问题[J].计算机应用与软件,2017,34(6):262-266,308,6.基金项目
国家科技支撑计划项目(2015BAK24B00). （2015BAK24B00）
