摘要
为提高转向机构优化设计效果,同时针对果蝇算法(FOA)存在的找到非零最优解的概率极低以及无法找到负值最优解的问题,提出了具有均匀候选解生成机制的果蝇算法(IFOA)。相比于FOA,IFOA改变了候选解的生产方式和适应度值的计算方式,实现了候选解的均匀分布和负值域求解。转向机构优化实例表明,IFOA的优化精度、优化速度和算法稳定性更优都相对更优,能有效提高优化效果,降低车辆侧滑量。
In order to improve steering trapezoid mechanism optimization,a fruit fly optimization algorithm with uniform candidate solution generation mechanism(IFOA)is proposed in this paper,which aims to solve two issues with the current fruit fly optimization algorithm(FOA):(1)that it is impossible to find a negative optimal solution and(2)that the algorithm has low probability of finding a non-zero solution.Compared with FOA,the IFOA improved the candidate solution generation method and the fitness value determination,thus realizing uniform distribution of candidate solutions and solution in the negative value range.The steering mechanism optimization experiment shows that IFOA has better search ability,faster search speed and improved stability,and can effectively improve optimization result and reduce vehicle sideslip.
作者
吴琼
陈桦
刘宝龙
WU Qiong;CHEN Hua;LIU Baolong(School of computer science and Engineering,Xi’an Technological University,Xi’an 710021,China;College of mechanical and electrical engineering,Xi’an Technological University,Xi’an 710021,China)
出处
《机械设计与研究》
CSCD
北大核心
2021年第4期83-86,98,共5页
Machine Design And Research
基金
陕西省自然科学基础研究计划项目(2019JM-484)。
关键词
果蝇优化算法
均匀候选解
转向机构
优化
fruit fly optimization algorithm
uniform candidate solution generation
steering mechanism
optimization
