唤醒
发表于 2025-3-30 08:30:09
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Canary
发表于 2025-3-30 13:54:13
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obstruct
发表于 2025-3-30 18:45:33
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GENUS
发表于 2025-3-31 00:36:41
Rania Elgoharyon problem. The simulation results suggest that the proposed optimisation framework is able to achieve good solutions as well as provide considerable savings of the function calls with a very small number of actual evaluations, compared to these traditional optimisation algorithms.
Arthritis
发表于 2025-3-31 04:24:07
Mohamed Tayebi,Merahi Bouzianison why this field of study, today, grasps more interest from the research community than ever. In this overview, we profoundly review the recent history and current status of the VRP and related variants. First, the important characteristics and variants of this problem are described in detail, fol
枫树
发表于 2025-3-31 06:53:18
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ROOF
发表于 2025-3-31 12:33:28
Sushanta Kumar Mohapatra,Kumar Prasannajit Pradhan,Prasanna Kumar Sahumeters, which can be used later by the genetic algorithm to find a suitable controller. While, in formal control theory, a raw estimation of the model parameters can significantly reduce the performance of a real-world system, the genetic algorithm method can find suitable controllers quickly and ef
Ganglion
发表于 2025-3-31 16:51:59
Ranjit Singh Sarban Singh,Jitvinder Dev Singh,Lim Kim Chuanl techniques for AAL robots. To enhance the accuracy and convergence rate of ANN, a new method of neural network training is explored, i.e., grey wolf optimization (GWO). Moreover, we provide an overview of applying emerging metaheuristic approaches to various smart robot control scenarios which, fr
幼稚
发表于 2025-3-31 21:15:21
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勉励
发表于 2025-4-1 01:05:49
G. N. Sowmya,K. S. Vasundara Patel,Rajani Raometers, which can be used later by the genetic algorithm to find a suitable controller. While, in formal control theory, a raw estimation of the model parameters can significantly reduce the performance of a real-world system, the genetic algorithm method can find suitable controllers quickly and ef