摘要
文章采用遗传算法,研究了受限双正弦函数的极大值问题,给出了遗传算法寻优后的结果,并就遗传算法参数对受限双正弦函数寻优的收敛性进行了分析,结果表明遗传算法准确且较快地得到了双正弦函数的极大值。
The maximum problem of double-sine function with constraints is studied based on genetic algorithm and the convergence for optimizing constrained double-sine function is analyzed, which is affected by those genetic algorithm parameters. The result indicates that the maximum of double-sine function that with constraints can be worked out by virtue of genetic algorithm correctly and fastly.
出处
《四川理工学院学报（自然科学版）》
CAS
2009年第4期35-37,共3页
Journal of Sichuan University of Science & Engineering(Natural Science Edition)
基金
国家自然科学基金(40572078/D0206)
石油科技中青年创新基金(2002F70104)
教育部重点实验室开放基金项目(K200609)
湖北省教育厅(A类)重点项目(D200512001)
关键词
遗传算法
双正弦函数
受限优化
收敛性
genetic algorithm
double-sine function
constrained optimization
convergence
