影响因子寻优差异法及其在合模机构优化中应用  

Impact Factor Optimizing Differential Evolution Algorithm and Its Application in the Optimization of Clamping Mechanism

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作  者:杜遥雪[1] 石绍伟[1] 张贤宝 李彬 殷小春[3] 

机构地区:[1]五邑大学机电工程学院,广东江门529020 [2]震德塑料机械有限公司,广东佛山528300 [3]华南理工大学聚合物新型成型装备国家工程研究中心,广东广州510640

出  处:《中国塑料》2016年第9期58-64,共7页China Plastics

基  金:广东省省部产学研结合项目(20138090600066);广东省自然科学基金项目(2016A030313004)

摘  要:以差异演化算法为基础,提出了影响因子寻优差异演化法,通过对3组具有不同Pareto前沿的测试函数进行仿真实验,验证了影响因子寻优差异演化法的可行性和有效性,为多目标优化问题提供了一种新的优化方法,并将其与工程实际相结合,以注塑机合模机构为例,建立了行程比和力放大倍数2个目标函数的多目标优化数学模型,实现对注塑机合模机构的优化,同时与理想点法进行对比。结果表明,行程比和力放大倍数经影响因子寻优差异演化法优化后,比原始参数对应的值分别提高10.73%和21.42%,而采用理想点法优化后,比原始参数对应的值分别提高9.93%和20.91%;影响因子寻优差异演化法比理想点法更具有优越性。Based on differential evolution algorithm, an impact factor optimizing differential evolution algorithm was proposed. Feasibility and effectiveness of the algorithm were verified through the simulation experiment of three groups of test function with different Pareto frontier, which provides a novel optimization method for multi-objective optimization problem. Applying this method in the engineering practice, particularly in the clamping mechanism in an injection molding machine, a mathematical model of multi-objective optimization with two objective functions of stroke ratio and force magnification was established, which realized the optimization of clamping mechanism and the comparison with ideal point method. It showed that the stroke ratio and force magnification after the optimization using our algorithm were increased by 10. 73 % and 21.42 %, respectively, in comparison with that of 9.93 % and 20. 91 % by ideal point method. It may be concluded that the impact factor optimizing differential evolution algorithm was superior to the ideal Doint method.

关 键 词:影响因子寻优 差异演化算法 合模机构 多目标优化 理想点法 

分 类 号:TQ320.52[化学工程—合成树脂塑料工业]

 

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