多峰函数优化的黄金分割斐波那契树优化算法  

Golden Section Fibonacci Tree Optimization Algorithm for Multimodal Function Optimization

作　　者：张松海[1] 施心陵[1] 李鹏[1] 董易[1] 李孙寸 

机构地区：[1]云南大学信息学院,云南昆明650500

出　　处：《电子学报》2017年第4期791-798,共8页Acta Electronica Sinica

基　　金：国家自然科学基金(No.61261007);云南省自然科学基金重点项目(No.2013FA008);云南省科技厅(No.2013FB048)

摘　　要：针对多峰函数优化问题,基于斐波那契树优化算法,结合黄金分割思想,提出一种黄金分割斐波那契树优化算法.该算法利用斐波那契树优化算法全局局部交替寻优特性,通过在寻优过程中对优化问题解空间进行黄金分割比例压缩,从而提高算法局部搜索能力与小峰值搜索能力.多峰函数优化的仿真结果表明,该算法多峰优化能力强、速度快、精度高.A golden section Fibonacci tree optimization algorithm for multimodal function optimization is proposed, which is based on the Fibonacci tree optimization algorithm （FTO） and is combined with the golden section theory. By making full use of the features upon the global and local alternation optimization of Fibonacci tree optimization, the algo- rithm has improved and enhanced its local searching ability and small peak searching ability through the method of golden section ratio compression to optimize problems of solution space. Simulation result of typical test function shows that the al- gorithm owns strong optimization capacity, fast speed as well as high precision.

关 键 词：多峰优化 斐波那契树优化算法 黄金分割法 全局局部交替 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]