WebFeb 1, 2024 · The proposed Enhanced Shuffled Shepherd Optimization Algorithm (ESSOA) is compared to the standard SSOA and some other existing metaheuristic algorithms and reveals the competence and robustness of the ESSOA for optimal design of the large-scale space structures. Expand. 6. WebOct 1, 2024 · The force method is used for the first time in the structural analysis of the RBDO problems. Six population-based algorithms are utilized in this study, including the shuffled shepherd optimization algorithms (SSOA), Rao-1, Rao-2, and their enhanced versions for comparison. These algorithms are utilized for the RBDO of the frame …
A set theoretical shuffled shepherd optimization algorithm for …
WebJun 8, 2024 · Shuffled shepherd optimization algorithm (SSOA) is a new multi-community algorithm inspired by shepherd behavior. SSOA is an algorithm dependent on its … WebDec 10, 2024 · The classification is carried out using deep maxout network and the severity percentage prediction is performed using deep LSTM. The training of both deep learning techniques is achieved using developed SSSO algorithm, which is the combination of shuffled shepherd optimization algorithm (SSOA) and social optimization algorithm. high chair dinette sets
A set theoretical shuffled shepherd optimization …
WebMar 8, 2024 · Face recognition technology is presenting exciting opportunities, but its performance gets degraded because of several factors, like pose variation, partial occlusion, expression, illumination, biased data, etc. This paper proposes a novel bird search-based shuffled shepherd optimization algorithm (BSSSO), a meta-heuristic technique motivated … WebMay 17, 2012 · Shuffled Shepherd Optimization Algorithm. 22 January 2024. Thermal Exchange Metaheuristic Optimization Algorithm. 22 January 2024. Magnetic Charged System Search. ... Shuffled shepherd optimization method: a new Meta-heuristic algorithm. 11 March 2024 Engineering Computations, Vol. 37, No. 7. WebHowever, the developed GWSSOA is devised by integrating Shuffled Shepherd Optimization Algorithm (SSOA) and Grey Wolf Optimizer (GWO) algorithms. The developed GWSSOA-based DRNN model outperforms other big data classification techniques with regards to accuracy, specificity, and sensitivity of 0.966, 0.964, 0.870, and 209837ms. how far is sutter creek ca from ione ca