Abstract
This paper proposed an enhanced hybrid Jaya algorithm, called AEHJ. The proposed AEHJ is a new improvisation of the Jaya algorithm (Jaya) and the differential evolution algorithm (DE) with two modifications. Firstly, the local search is improved by using DE/best/1, DE/best/2, and Jaya operators. Secondly, an elitist selection approach is used for choosing the best solution for the next population. For validating the feasibility of AEHJ, the well-known benchmark example of size optimization for a 10-bar truss is performed.
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This research was supported by Thai Nguyen University of Technology.
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Nguyen, N.T.T., Nguyen-Van, S., Diem, T.T.T., Nguyen-Dinh, N., Hoang, TD., Dung, L.V. (2023). An Enhanced Hybrid Jaya Algorithm for Size Optimization of Truss Structure Under Frequency Constraints. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2022. Lecture Notes in Networks and Systems, vol 602. Springer, Cham. https://doi.org/10.1007/978-3-031-22200-9_18
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