Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Chaotic Optimization of Trusses with Frequency Constraints with Three Metaheuristic Algorithms
https://orcid.org/http://orcid.org/0000-0002-5428-4788
The natural frequencies of the structures have useful information about the dynamic behavior of the structures and one can easily control the dynamic behavior of a structural system by their swift evaluation. One of the results is preventing the destructive and dangerous phenomenon of resonance. Considering that the frequency limit relationships are highly nonlinear and non-convex and have complex implicit variables, the application of gradient-based methods becomes very difficult and time-consuming, and in most cases the calculation process stops at local optima. In this regard, the use of meta-heuristic algorithms has been fruitful, and by combining chaos functions with these algorithms, one can escape from the trap of local optima and move the results toward global optima. In metaheuristics creating a balance between the two stages of exploration and exploitation, these functions prevent premature convergence of the algorithms and accelerate the convergence toward global optimality. Nowadays, chaotic algorithms have been introduced by researchers and many efforts have been introduced. In this research, three chaotic meta-heuristic algorithms have been investigated for the formation and improvement of results for the optimal design of truss structures. These algorithms include chaotic shuffled frog-leaping algorithm (CSFLA), chaotic artificial bee colony (CABC) and chaotic imperialist competitive algorithm (CICA).
Chaotic Optimization of Trusses with Frequency Constraints with Three Metaheuristic Algorithms
https://orcid.org/http://orcid.org/0000-0002-5428-4788
The natural frequencies of the structures have useful information about the dynamic behavior of the structures and one can easily control the dynamic behavior of a structural system by their swift evaluation. One of the results is preventing the destructive and dangerous phenomenon of resonance. Considering that the frequency limit relationships are highly nonlinear and non-convex and have complex implicit variables, the application of gradient-based methods becomes very difficult and time-consuming, and in most cases the calculation process stops at local optima. In this regard, the use of meta-heuristic algorithms has been fruitful, and by combining chaos functions with these algorithms, one can escape from the trap of local optima and move the results toward global optima. In metaheuristics creating a balance between the two stages of exploration and exploitation, these functions prevent premature convergence of the algorithms and accelerate the convergence toward global optimality. Nowadays, chaotic algorithms have been introduced by researchers and many efforts have been introduced. In this research, three chaotic meta-heuristic algorithms have been investigated for the formation and improvement of results for the optimal design of truss structures. These algorithms include chaotic shuffled frog-leaping algorithm (CSFLA), chaotic artificial bee colony (CABC) and chaotic imperialist competitive algorithm (CICA).
Chaotic Optimization of Trusses with Frequency Constraints with Three Metaheuristic Algorithms
https://orcid.org/http://orcid.org/0000-0002-5428-4788
The natural frequencies of the structures have useful information about the dynamic behavior of the structures and one can easily control the dynamic behavior of a structural system by their swift evaluation. One of the results is preventing the destructive and dangerous phenomenon of resonance. Considering that the frequency limit relationships are highly nonlinear and non-convex and have complex implicit variables, the application of gradient-based methods becomes very difficult and time-consuming, and in most cases the calculation process stops at local optima. In this regard, the use of meta-heuristic algorithms has been fruitful, and by combining chaos functions with these algorithms, one can escape from the trap of local optima and move the results toward global optima. In metaheuristics creating a balance between the two stages of exploration and exploitation, these functions prevent premature convergence of the algorithms and accelerate the convergence toward global optimality. Nowadays, chaotic algorithms have been introduced by researchers and many efforts have been introduced. In this research, three chaotic meta-heuristic algorithms have been investigated for the formation and improvement of results for the optimal design of truss structures. These algorithms include chaotic shuffled frog-leaping algorithm (CSFLA), chaotic artificial bee colony (CABC) and chaotic imperialist competitive algorithm (CICA).
Chaotic Optimization of Trusses with Frequency Constraints with Three Metaheuristic Algorithms
Iran J Sci Technol Trans Civ Eng
Kaveh, Ali (Autor:in) / Yousefpoor, Hossein (Autor:in)
01.02.2024
23 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Chaotic Optimization of Trusses with Frequency Constraints with Three Metaheuristic Algorithms
| Springer Verlag | 2024
| DOAJ | 2023
Discrete optimization of shallow trusses with stability constraints
| British Library Conference Proceedings | 2000
| Engineering Index Backfile | 1904