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 waveguid
The transformation parameters which minimize the RMS error of the original and transformed coordinates between the images were determined using a genetic algorithm. Three CT image studies of skull phantom and five MR image studies of patients were used for the evaluation. The RMS error in the ...
With the rapid development of renewable energy, photovoltaic energy storage systems (PV-ESS) play an important role in improving energy efficiency, ensuring grid stability and promoting energy transition. As an important part of the micro-grid system, the energy storage system can realize the stable...
Zhang, J.S., Xu, Z.B., Liang, Y.: Integrated anneal genetic algorithm and its sufficient convergence precondition. Sciene in China (Series B) 27(2), 154–164 (1997) About this Chapter Title Application of Adaptive Annealing Genetic Algorithm for Wavelet Denoising Book Title Electrical ...
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
A new adaptive genetic algorithm using mutation matrix is introduced and implemented in a single computer using the quasi-parallel time sharing algorithm for the solution of the zero/one knapsack problem. The mutation matrix M ( t ) is constructed using the locus statistics and the fitness ...
This paper presents a novel approach to quantum architecture search by integrating the techniques of ZX-calculus with Genetic Programming (GP) to optimize the structure of parameterized quantum circuits employed in quantum machine learning (QML). Recognizing the challenges in designing efficient quantum ...
The recurrence relation of the binomial in the discrete solution also provides simpler computation due to the elimination of the Gamma function calculation. The Jaya Algorithm is introduced to optimize the parameters of the new model to improve its adaptability. The proposed model and its findings ...
Z. Yangping, Z. Bingquan, W. DongXin, Application of genetic algorithms to fault diagnosis in nuclear power plants. Reliab. Eng. Syst. Saf.67(2), 153–160 (2000) ArticleGoogle Scholar S. Rocco, E. Zio, A support vector machine integrated system for the classification of operation anomali...
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...