Comparison of grey wolf, whale, water cycle, ant lion and sine-cosine algorithms for the optimization of a vehicle engine connecting rod

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Date

2018-03

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Publisher

Walter de Gruyter

Abstract

The product design process has a very important effect on product costs. It aims to develop products that are able to compete by achieving an optimum design in the product design process. This research presents the first application in the literature of the grey wolf, whale, water cycle, ant lion and sine-cosine optimization algorithms for the optimum design of vehicle components. In this study, the optimal structural model of a vehicle connecting rod was determined. In the optimization process, various design alternatives were created by using the latin hypercube method. Stress analysis was performed for each of these designs. According to the generated responses, equations for objective and constraint functions were obtained. The optimization problem was solved using the above mentioned algorithms which have been newly developed in the literature, resulting in optimum connection rod design. The results demonstrate that the grey wolf, whale, water cycle, ant lion and sine-cosine algorithms are very important options in optimizing design and manufacturing optimization problems.

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Keywords

Connecting rod, Grey wolf algorithm, Water cycle algorithm, Whale algorithm, Ant lion algorithm, Sine-cosine algorithm, Optimum design, Charged system search, Structural design, Gravitational search, Differential evolution, Topology design, Product design, Stress analysis, Structural optimization, Vehicles, Constraint functions, Design alternatives, Optimization algorithms, Optimization problems, Product design process, Water cycle, Optimization

Citation

Yıldız, B. S. ve Yıldız, A. R. (2018). "Comparison of grey wolf, whale, water cycle, ant lion and sine-cosine algorithms for the optimization of a vehicle engine connecting rod". Materials Testing, 60(3), 311-315.