X-ray optics/ genetic algorithmsX-ray waveguides optimizationoptimum thicknessthin-layered structuresMo-Be-Mo waveguidesA genetic algorithm (GA) for the determination of the optimum thickness for X-ray waveguiding in thin-layered structures is proposed. We applied this GA for the characterization of ...
Physics-based models in which 3D geometry and first principles are used and data-driven modelling techniques may be employed to develop virtual replica of physical assets Full size image If data-driven techniques are utilised for modelling and simulating complex systems to develop DTs, statistics and...
DongXin, Application of genetic algorithms to fault diagnosis in nuclear power plants. Reliab. Eng. Syst. Saf. 67(2), 153–160 (2000) Article Google Scholar S. Rocco, E. Zio, A support vector machine integrated system for the classification of operation anomalies in nuclear components and ...
It is commonly known that a number of variables, including price, supply levels, time, and green level, affect how quickly certain things are in demand. Furthermore, the inventory carrying cost is considered to be a nonlinear representation of time and i
Data or measurement from real field is a representation of the “physics” that deciphers the “actual system” in the reservoir (Mohaghegh, 2017, 2020). Therefore, underlying assumption is not needed to simplify the physics in building a data-driven model that forecasts the production. In ...
To enhance the efficiency and accuracy of genetic algorithm in energy storage system optimization, researchers have proposed a series of improvements. One of the key improvements is the development of multi-objective genetic algorithm (MOGA), which can comprehensively deal with multiple conflicting optimi...
P Hu,B Zhang - 《Journal of Physics Conference》 被引量: 0发表: 2021年 Wireless Sensor Network Node Localization Based on Genetic Algorithm Node localization of the network is the basis for the applications of wireless sensor network, therefore in the wireless sensor network's each research dir...
Recently, the application of deep learning (DL) has made great progress in various fields, especially in cancer research. However, to date, the bibliometric analysis of the application of DL in cancer is scarce. Therefore, this study aimed to explore the research status and hotspots of the app...
Canali C, Lancellotti R (2019) GASP: genetic algorithms for service placement in fog computing systems. Algorithms 12(10). https://doi.org/10.3390/a12100201 Chattopadhyay S, Marik A, Pramanik R (2022) A brief overview of physics-inspired metaheuristic optimization techniques. http://arxiv.org...
(2024) [155], novel techniques such as Physics-Informed Neural Networks (PINNs) show promise in modeling the growth of microbial populations while accounting for environmental factors, providing a powerful tool for studying microbial dynamics. Certainly, the advent of AI-based tools has the ...