Showing 4 results for Jaya Algorithm
P. Mohebian, M. Mousavi, H. Rahami,
Volume 7, Issue 2 (3-2017)
Abstract
The present study is concerned with the simultaneous optimization of the size of components and the arrangement of connections for performance-based seismic design of low-rise SPSWs. Design variables include the size of beams and columns, the thickness of the infill panels, the type of each beam-to-column connection and the type of each infill-to-boundary frame connection. The objective function is considered to be the sum of the material cost and rigid connection fabrication cost. For comparison purposes, the SPSW model is also optimized with regard to two fixed connection arrangements. To fulfill the optimization task a new hybrid optimization algorithm called CBO-Jaya is proposed. The performance of the proposed hybrid optimization algorithm is assessed by two benchmark optimization problems. The results of the application of the proposed algorithm to the benchmark problem indicate the efficiency, robustness, and the fast convergence of the proposed algorithm compared with other meta-heuristic algorithms. The achieved results for the SPSWs demonstrate that incorporating the optimal arrangement of beam-to-column and infill-to-boundary frame connections into the optimization procedure results in considerable reduction of the overall cost.
A. Kaveh, A. Zaerreza,
Volume 12, Issue 4 (8-2022)
Abstract
In this paper, the improved shuffled-based Jaya algorithm (IS-Jaya) is applied to the size optimization of the braced dome with the frequency constraints. IS-Jaya is the enhanced version of the Jaya algorithm that the shuffling process and escaping from local optima are added for it. These two modifications increase the population diversity and ability the escape from the local optima of the Jaya. The robustness and performance of the IS-Jaya are evaluated by the three design examples. The results show that the IS-Jaya algorithm outperforms other state-of-the-art optimization techniques considered in the literature.
A. Kaveh, A. Zaerreza,
Volume 13, Issue 3 (7-2023)
Abstract
In this paper, three recently improved metaheuristic algorithms are utilized for the optimum design of the frame structures using the force method. These algorithms include enhanced colliding bodies optimization (ECBO), improved shuffled Jaya algorithm (IS-Jaya), and Vibrating particles system - statistical regeneration mechanism algorithm (VPS-SRM). The structures considered in this study have a lower degree of statical indeterminacy (DSI) than their degree of kinematical indeterminacy (DKI). Therefore, the force method is the most suitable analysis method for these structures. The robustness and performance of these methods are evaluated by the three design examples named 1-bay 10-story steel frame, 3-bay 15-story steel frame, and 3-bay 24-story steel frame.
A. Bagherkhani,
Volume 16, Issue 3 (7-2026)
Abstract
Detecting the location and severity of damage, particularly in the early stages, is a significant topic in structural engineering. This study proposes a new identification method that can achieve third-level damage detection of structures. The approach involves conducting a static load test to measure the structure's static responses, along with a finite element model updating method that utilizes an optimization strategy. Based on the structure's static responses, a new damage index is introduced. This index comprises two components: a location index, which represents the residual values between structural responses in intact and damaged states, and a severity index, which is defined based on the correlation coefficient between structural responses in actual damage scenarios and the outcomes from the model updating process. Jaya optimization algorithm is used in this regard. The effectiveness of the proposed method is assessed through four numerical examples involving beam and frame structures under various damage scenarios. In addition, the method's performance is evaluated for noisy data. The results demonstrate the proposed method's effectiveness and high precision in identifying structural damage. However, the results also indicate that the proposed approach is highly sensitive to noisy data.
