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Truss Optimization Under Frequency Constraints by Using a Combined Differential Evolution and Jaya Algorithm

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Advances in Engineering Research and Application (ICERA 2020)

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Abstract

A combined differential evolution (DE) and Jaya algorithm, named CDJ, for size and shape truss optimization under frequency constraints is suggested in this paper. In CDJ, a combined operator of the original DE and Jaya are used to achieve both the global and local searching abilities. Then, the elitist selection technique is used in the selection stage. As a result, the CDJ can generate good solutions with a small computational effort in comparison with two original methods and some other optimization algorithms in the literature. To validate its feasibility, two numerical examples of shape and size optimization and size optimization are performed.

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Acknowledgment

This research was supported by Thai Nguyen University of Technology.

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Correspondence to Sy Nguyen-Van .

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Nguyen-Van, S., Nguyen, T.T.N., Nguyen-Dinh, N., Lieu, Q.X. (2021). Truss Optimization Under Frequency Constraints by Using a Combined Differential Evolution and Jaya Algorithm. In: Sattler, KU., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2020. Lecture Notes in Networks and Systems, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-030-64719-3_95

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  • DOI: https://doi.org/10.1007/978-3-030-64719-3_95

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64718-6

  • Online ISBN: 978-3-030-64719-3

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