Structures vibration control via tuned mass dampers using a co-evolution coral reefs optimization algorithm
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911776056016896 |
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| author | Salcedo-Sanz, S Camacho-Gómez, C Magdaleno, A Pereira, E Lorenzana, A |
| author_facet | Salcedo-Sanz, S Camacho-Gómez, C Magdaleno, A Pereira, E Lorenzana, A |
| contents | In this paper we tackle a problem of optimal design and location of Tuned Mass Dampers (TMDs) for structures subjected to earthquake ground motions, using a novel meta-heuristic algorithm. Specifically, the Coral Reefs Optimization (CRO) with Substrate Layer (CRO-SL) is proposed as a competitive co-evolution algorithm with different exploration procedures within a single population of solutions. The proposed approach is able to solve the TMD design and location problem, by exploiting the combination of different types of searching mechanisms. This promotes a powerful evolutionary-like algorithm for optimization problems, which is shown to be very effective in this particular problem of TMDs tuning. The proposed algorithm's performance has been evaluated and compared with several reference algorithms in two building models with two and four floors, respectively. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2402_06981 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Structures vibration control via tuned mass dampers using a co-evolution coral reefs optimization algorithm Salcedo-Sanz, S Camacho-Gómez, C Magdaleno, A Pereira, E Lorenzana, A Systems and Control Neural and Evolutionary Computing I.2.8 In this paper we tackle a problem of optimal design and location of Tuned Mass Dampers (TMDs) for structures subjected to earthquake ground motions, using a novel meta-heuristic algorithm. Specifically, the Coral Reefs Optimization (CRO) with Substrate Layer (CRO-SL) is proposed as a competitive co-evolution algorithm with different exploration procedures within a single population of solutions. The proposed approach is able to solve the TMD design and location problem, by exploiting the combination of different types of searching mechanisms. This promotes a powerful evolutionary-like algorithm for optimization problems, which is shown to be very effective in this particular problem of TMDs tuning. The proposed algorithm's performance has been evaluated and compared with several reference algorithms in two building models with two and four floors, respectively. |
| title | Structures vibration control via tuned mass dampers using a co-evolution coral reefs optimization algorithm |
| topic | Systems and Control Neural and Evolutionary Computing I.2.8 |
| url | https://arxiv.org/abs/2402.06981 |