首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science >A new differential evolution algorithm with a combined mutation strategy for optimum synthesis of path-generating four-bar mechanisms
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A new differential evolution algorithm with a combined mutation strategy for optimum synthesis of path-generating four-bar mechanisms

机译:一种新的差分演进算法,具有组合突变策略,以实现路径生成四杆机构的最佳合成

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摘要

A one-phase synthesis method using heuristic optimization algorithms can solve the dimensional synthesis problems of path-generating four-bar mechanisms. However, due to the difficulty of the problem itself, there is still room for improvement in solution accuracy and reliability. Therefore, in this study, a new differential evolution (DE) algorithm with a combined mutation strategy, termed the combined-mutation differential evolution (CMDE) algorithm, is proposed to improve the solution quality. In the combined mutation strategy, the DE/best/1 operator and the DE/current-to-best/1 operator are respectively executed on some superior parents and some mediocre parents, and the DE/rand/1 operator is executed on the other inferior parents. Furthermore, the individuals participating in the three mutation operators are randomly selected from the entire set of parents. The proposed CMDE algorithm with the three different search modes possesses better population diversity as well as search ability than the DE algorithm. The effectiveness of the proposed CMDE algorithm is demonstrated using five representative problems. Findings show a marked improvement in solution accuracy and reliability. The most accurate results are obtained with an approximate combination ratio for the three mutation operators.
机译:使用启发式优化算法的单相合成方法可以解决路径生成四条机构的尺寸合成问题。但是,由于问题本身的难度,仍有求助于解决方案准确性和可靠性的空间。因此,在本研究中,提出了一种具有组合突变策略的新的差分演化(DE)算法称为组合突变差分演化(CMDE)算法,以提高溶液质量。在组合突变策略中,DE /最佳/ 1个操作员和DE / Current-to-BOST / 1运算符分别在一些优越的父母和一些平庸的家长上执行,并且DE / RAND / 1操作员在另一个上执行较低的父母。此外,参与三个突变算子的个体是从整个父母组中随机选择的。具有三种不同搜索模式的提议的CMDE算法具有比DE算法更好的群体多样性以及搜索能力。使用五个代表性问题证明了所提出的CMDE算法的有效性。调查结果显示了解决方案准确性和可靠性的显着提高。为三个突变算子的近似组合比获得最准确的结果。

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