1. Metaheuristic algorithm inspired by enterprise development for global optimization and structural engineering problems with frequency constraints.
- Author
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Truong, Dinh-Nhat and Chou, Jui-Sheng
- Subjects
- *
METAHEURISTIC algorithms , *MATHEMATICAL functions , *STRUCTURAL optimization , *STRUCTURAL engineering , *ENGINEERING design , *DOMES (Architecture) - Abstract
In this study, a novel metaheuristic optimization algorithm inspired by the enterprise development (ED) process was developed. This process encompasses tasks, structure, technology, and human interactions. A mechanism for switching activities was utilized to determine each step by updating the searched solutions. The ED optimizer underwent evaluation against 50 mathematical functions and 54 IEEE Congress on Evolutionary Computation (CEC) functions, and it was compared with six up-to-date algorithms, three winners of CEC 2020 in real-world single-objective constrained optimization, and ten well-known algorithms. The evaluation results revealed that the ED optimizer outperformed the algorithms in mathematical tests. Using finite element simulation, this novel method was applied to minimize steel structure component weights under various frequency constraints. The engineering designs included a 37-bar planar truss, a 52-bar dome, a 72-bar space truss, a 600-bar dome, and a 1,410-bar dome. Optimization results for these structures showed that the developed ED optimizer yielded the optimal solution and required fewer function evaluations. In conclusion, the ED optimizer is a superior metaheuristic algorithm that can effectively solve complex structural design problems. • Introduced a novel metaheuristic optimizer tailored for advanced engineering solutions. • Demonstrated superior efficiency of the enterprise development optimizer over the algorithms considered. • Successfully applied in global optimization and optimal design of the structures. • Effectively optimized various steel truss and dome structures through refined algorithms. • Advanced the application of metaheuristic algorithms in structural engineering simulations. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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