Numerical optimizationThree-dimensional USV path planningThe RIME optimization algorithm (RIME) represents an advanced optimization technique. However, it suffers from issues such as slow convergence speed and susceptibility to falling into local optima. In response to these shortcomings, we propose a ...
In this study, we present RIME: A physics-based optimization approach as a new method for solving continuous optimization and FS problems. Our research aims to evaluate the effectiveness, robustness, and applicability of the RIME algorithm in improving solution quality and computational efficiency in ...
To solve bankruptcy prediction tasks, we proposed an improved rime optimization technique (RMRIME). The proposed RMRIME algorithm first employs roulette wheel selection step, introducing random individuals into the position updating process to expand the search space and boost the RMRIME’s exploration ...
To address the challenges of feature extraction in Variational Mode Decomposition (VMD) for rolling bearing fault diagnosis, this paper proposes a feature extraction method optimized by the RIME algorithm, called RIME-VMD. First, under various rolling bearing fault conditions, the RIME algorithm is em...
(OPF) problem. The OPF problem entails establishing the best settings for control variables in a power system to reduce objectives such as generating cost and transmission losses while meeting operational restrictions. This research introduces an upgraded RIME optimization algorithm (WDNMRIME) to address...
RIME A physics based optimization algorithm, Neurocomputing, 2023 https://doi.org/10.1016/j.neucom.2023.02.010, This paper proposes an efficient optimization algorithm based on the physical phenomenon of rime-ice 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 ...
code of the paper "TERIME: An improved RIME algorithm with enhanced exploration and exploitation for robust parameter extraction of photovoltaic models". PV, optimization problems, Metaheuristic, Rao, estimation, stability, uncertainty, RTC France, Equiv
Efficient sampling, integration and optimization algorithms for logconcave functions [BV04, KV06, LV06a] rely on the good isoperimetry of these function's. We extend this to show that -1/(n-1)-concave functions have good isoperimetry, and moreover, using a characterization of functions ba...
Cui, L.: A label learning approach using competitive population optimization algorithm feature selection to improve multi-label classification algorithms. J. King Saud Univ. Comput. Inf. Sci. 36(5), 102083 (2024) MATH Google Scholar Bolón-Canedo, V., et al.: On the scalability of feature...
In this section, this paper will begin with SF mothed [70,71]. The study will then delve into an enhanced adaptation of the RIME. This algorithm incorporates dual weight decay mechanisms and the NMs method, with the objective of proficiently tackling intricate, difficult optimization tasks. ...