2016
DOI: 10.1177/0954406216638887
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A new differential evolution algorithm with a combined mutation strategy for optimum synthesis of path-generating four-bar mechanisms

Abstract: 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 combin… Show more

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Cited by 32 publications
(31 citation statements)
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“…The differential evolutionary algorithm with a combined mutation strategy (Lin and Hsiao, 2017) is used to solve the optimization problems for shape synthesis. A population size of 100 and a total numbers of generations of 1000 are used for all problems.…”
Section: Resultsmentioning
confidence: 99%
“…The differential evolutionary algorithm with a combined mutation strategy (Lin and Hsiao, 2017) is used to solve the optimization problems for shape synthesis. A population size of 100 and a total numbers of generations of 1000 are used for all problems.…”
Section: Resultsmentioning
confidence: 99%
“…However, it would become inadvisable when applied to real-world scale instances due the explosive solution space. 31,32 Therefore, a new metaheuristic HTLBO is designed in the next section.…”
Section: Exact Algorithmmentioning
confidence: 99%
“…The fixed-carrier efficiency of a KHV PDSTND for the case with the pitch point inside the contact path can be expressed as follows (Morozumi, 1970a) Lin, Hsiao and Ke, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.13, No.1 (2019) The optimization problem is solved using a combined-mutation differential evolution algorithm (Lin and Hsiao, 2017). Four design schemes are summarized below:…”
Section: Mechanical Efficiencymentioning
confidence: 99%
“…The aim of this study is to find the optimum involute tooth profiles for K-H-V PDSTNDs so as to minimize the objective function of a weighted combination of two main performance factors, i.e., the reciprocal of the contact ratio and the working pressure angle. The optimization problems are solved using a combined-mutation differential evolution algorithm (Lin and Hsiao, 2017). In order to estimate the range of the weighting factors and to understand possible values for the working pressure angles, the objective function of the reciprocal of the contact ratio is first studied.…”
Section: Introductionmentioning
confidence: 99%