Abstract
In this paper, we devoted the reliability analysis by combining the moth-flame optimizer (MFO) with the first-order reliability method (FORM). To improve the global search ability of MFO, a new position-updated equation is presented according to position update process of accelerated particle swarm (APSO) which can explore the search space quickly and locate the optimal solution efficiently. In the proposed method named as EMFO, FORM is used to evaluate the fitness of each agent. In order to investigate the efficiencies of EMFO in reliability analysis, four classic examples, as well as roof truss model are employed. The results are compared to four well-known heuristic algorithms. The results show that reliability analysis by using EMFO is significantly better than the current heuristic algorithms.
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Hraiba, A., Touil, A., Mousrij, A. (2020). An Enhanced Moth-Flame Optimizer for Reliability Analysis. In: Bhateja, V., Satapathy, S., Satori, H. (eds) Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_71
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DOI: https://doi.org/10.1007/978-981-15-0947-6_71
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