基于反向认知果蝇优化算法的转向梯形机构设计  

Steering Trapezoid Mechanism Optimization Based on Reverse Cognition Fruit Fly Optimization Algorithm

作　　者：岑华[1] 韦建军 CEN Hua;WEI Jianjun(Mechanical and Electrical Engineering,Cuangxi Modern Polylechnic College,Hechi Guangxi 547000,China;School of Mechanical and Marine Engineering,Beibu Gulf University,Qinzhou Guangxi 535424,China)

机构地区：[1]广西现代职业技术学院机电工程系,广西河池547000 [2]北部湾大学机械与船舶海洋工程学院,广西钦州535424

出　　处：《机械设计与研究》2021年第3期42-45,51,共5页Machine Design And Research

基　　金：广西职业教育工业机械人技术专业群发展研究基地项目(2018080315);2019年度广西高校中青年教师科研基础能力提升项目(2019KY1572);2020年度广西高校中青年教师科研基础能力提升项目(2020KY45007)。

摘　　要：为提高果蝇优化算法(FOA)在转向梯形机构优化中的应用效果,对其进行改进,提出了反向认知果蝇优化算法(RCFOA)。相比于FOA,RCFOA在进化过程中在保留向最优个体学习策略的同时,增加了向最差个体学习的过程,即增加了"反向认知"策略,从而提升了算法的寻优能力。函数优化结果表明,RCFOA的优化精度、优化速度和算法稳定性更优。在转向梯形机构优化的实际应用中,RCFOA有效提高了优化结果。In order to improve application effect of fruit fly optimization algorithm(FOA)using in steering trapezoid mechanism optimization,an improvement is introduced in it and reverse cognition fruit fly optimization algorithm(RCFOA)was proposed in this paper.Compared with FOA,the RCFOA while retaining the learning strategy from the best individual added learning strategy from the worst individual,which are called’reverse cognition’strategy,thus better search ability can be obtained.Function optimization results show that RCFOA has better search ability,faster search speed and more precise algorithm stability.In the application of steering trapezoid mechanism optimization,the RCFOA also effectively improved optimization result.

关 键 词：果蝇优化算法 反向认知 优化 转向梯形机构 

分 类 号：U463.45[机械工程—车辆工程]