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Structural Engineering and Mechanics Volume 77, Number 5, March10 2021 , pages 613-626 DOI: https://doi.org/10.12989/sem.2021.77.5.613 |
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Optimization of structural and mechanical engineering problems using the enriched ViS-BLAST method |
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Babak Dizangian and Mohammad Reza Ghasemi
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Abstract | ||
In this paper, an enhanced Violation-based Sensitivity analysis and Border-Line Adaptive Sliding Technique (ViS-BLAST) will be utilized for optimization of some well-known structural and mechanical engineering problems. ViS-BLAST has already been introduced by the authors for solving truss optimization problems. For those problems, this method showed a satisfactory enactment both in speed and efficiency. The Enriched ViS-BLAST or EVB is introduced to be vastly applicable to any solvable constrained optimization problem without any specific initialization. It uses one-directional step-wise searching technique and mostly limits exploration to the vicinity of FNF border and does not explore the entire design space. It first enters the feasible region very quickly and keeps the feasibility of solutions. For doing this important, EVB groups variables for specifying the desired searching directions in order to moving toward best solutions out or inside feasible domains. EVB was employed for solving seven numerical engineering design problems. Results show that for problems with tiny or even complex feasible regions with a larger number of highly non-linear constraints, EVB has a better performance compared to some records in the literature. This dominance was evaluated in terms of the feasibility of solutions, the quality of optimum objective values found and the total number of function evaluations performed. | ||
Key Words | ||
constrained optimization; sensitivity analysis; mechanical engineering design; highly non-linear | ||
Address | ||
Babak Dizangian: Department of Civil Engineering, Velayat University, Iranshahr, Iran Mohammad Reza Ghasemi: Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan, Iran | ||