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To solve this problem, a two-layer genetic algorithm–backpropagation (GA-BP) model is proposed. The algorithm focuses on multi-source data identification and fusion. Rainfall data from a sensor array ...
This article details a magnetic positioning system using a genetic algorithm-optimized BPNN. The hardware includes a control module with an Arduino Mega 2560, a data collection module using Honeywell ...
In this article, the distributions of signal and ground TSVs in an array are optimized by conducting co-simulation of ANSYS Q2D and MATLAB based on genetic algorithm (GA). The optimization aims at ...
This paper introduces an optimized planning approach for integrating photovoltaic as distributed generation (PV-DG) into the radial distribution power systems, utilizing exhaustive load flow (ELF), ...
We propose a new algorithm for solving the SCP which is based on the genetic technique. This algorithm has been implemented and tested on various standard and randomly generated test problems.
The analysis shows that a stationary monetary equilibrium of the Kareken-Wallace model is not stable under the genetic algorithm dynamics. The fluctuations in the genetic algorithm exchange rate are ...
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