摘要
首先利用代理约束概念和修正极大熵函数,将非线性方程组等价地转化为无约束优化函数;然后引入平均相似度概念,设计自适应正交交叉算子,利用正交设计产生初始种群,并在此基础上提出了自适应正交差分进化算法,用于求解修正极大熵函数;最后用方程组验证了算法的有效性。
First,nonlinear system of equations was transformed into unconstrained optimization problem by using the concept of surrogate constraints and amended maximum entropy function.Then,the concept of average similarity was introduced to design adaptive orthogonal crossover operator,and orthogonal design was used to generate initial population,and on the basis,adaptive orthogonal differential evolution algorithm was proposed for solving the maximum entropy function.Finally,using equations verified the algorithm.
出处
《计算机科学》
CSCD
北大核心
2012年第5期187-189,194,共4页
Computer Science
基金
国家自然科学基金项目(60974082
11101101)
广西区教育厅立项项目(2008112LX85)
陕西省教育厅规划项目(11JK1051)
湖南省社科联课题(1011044B)资助
关键词
正交设计
差分进化算法
极大熵
方程组
Orthogonal design
Differential evolution
Maximum entropy
System of equations
