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首页> 外文期刊>Kybernetes: The International Journal of Systems & Cybernetics >Design and optimization of key control characteristics based on improved fruit fly optimization algorithm
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Design and optimization of key control characteristics based on improved fruit fly optimization algorithm

机译:基于改进果蝇优化算法的关键控制特性设计与优化

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摘要

Purpose - The key control characteristics (KCCs) are very important to control dimensional quality of the final product. The purpose of this paper is to propose optimization algorithm and rules of design KCCs by optimizing KCCs of 2D and 3D workpieces based on equations and candidate locating points. Design/methodology/approach - This paper analyzes optimization process of 2D and 3D rectangle workpieces based on equations and candidate locating points by using fruit fly optimization algorithm (FOA). For decreasing variables of the algorithm, the improved fruit fly optimization algorithm (IFOA) is presented. Moreover, the Euclidean norm of inverse Jacobian is used as the objective function of optimizing KCCs by comparing different objective functions. Finally, a case of side frame assembly is presented to illustrate design and optimization of KCCs through IFOA, and results show that the method proposed in this paper is efficient and precise. Findings - The paper provides some reasonable conclusions for the design and optimization of KCCs. Originality/value - This paper designs and optimizes KCCs of fixtures and parts to improve dimensional quality of the final product.
机译:目的-关键控制特征(KCC)对于控制最终产品的尺寸质量非常重要。本文的目的是通过基于方程和候选定位点优化2D和3D工件的KCC来提出设计KCC的优化算法和规则。设计/方法/方法-本文使用果蝇优化算法(FOA),根据方程式和候选定位点分析2D和3D矩形工件的优化过程。为了减少算法的变量,提出了改进的果蝇优化算法(IFOA)。此外,通过比较不同的目标函数,将逆雅可比矩阵的欧几里得范数用作优化KCC的目标函数。最后,以IFOA为例说明了KCC的设计与优化,结果表明本文提出的方法是高效,精确的。调查结果-本文为KCC的设计和优化提供了一些合理的结论。原创性/价值-本文设计并优化了夹具和零件的KCC,以提高最终产品的尺寸质量。

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