Publication: Sine-cosine optimization algorithm for the conceptual design of automobile components
Date
Authors
Yıldız, Betül Sultan
Yıldız, Ali Rıza
Authors
Pholdee, N.
Bureerat, S.
Sait, SM.
Advisor
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Walter de Gruyter
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Abstract
In this paper, the sine-cosine optimization algorithm (SCO) is used to solve the shape optimization of a vehicle clutch lever. The design problem is posed for the shape optimization of a clutch lever with a mass objective function and a stress constraint. Actual function evaluations are based on finite element analysis, while the response surface method is used to obtain the equations for objective and constraint functions. Recent optimization techniques such as the salp swarm algorithm, grasshopper optimization algorithm, and sine-cosine algorithm are used for shape optimization. The results show the ability of the sine-cosine optimization algorithm to optimize automobile components in the industry.
Description
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Keywords
Sine-cosine optimization algorithm, Response surface, Diaphragm spring, Shape optimization, Structural design, Multiobjective optimization, Differential evolution, Gravitational search, Hybrid approach, Water cycle, Ant lion, Parameters, Whale, Materials science, Automobiles, Conceptual design, Constrained optimization, Automobile components, Constraint functions, Objective functions, Optimization algorithms, Optimization techniques, Response surface method, Sine-cosine algorithm, Stress constraints, Shape optimization
Citation
Yıldız, B. S. vd. (2020). "Sine-cosine optimization algorithm for the conceptual design of automobile components". Materials Testing, 62(7), 744-748.