Analysis of Genetic Algorithm for Effective Power Delivery and with Best Upsurge

2017 ◽  
pp. 1-9
Author(s):  
Azeem Mohammed Abdul ◽  
Srikanth Cherukuvada ◽  
Annaram Soujanya ◽  
R. Srikanth ◽  
Syed Umar
Keyword(s):  
Genetic Algorithm ◽  
Power Delivery ◽  
Effective Power

scholarly journals Effective PCB Decoupling Optimization by Combining an Iterative Genetic Algorithm and Machine Learning

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1243 ◽  
Author(s):  
Riccardo Cecchetti ◽  
Francesco de Paulis ◽  
Carlo Olivieri ◽  
Antonio Orlandi ◽  
Markus Buecker
Keyword(s):  
Genetic Algorithm ◽  
Power Delivery ◽  
Computational Time ◽  
Test Cases ◽  
Experimental Measurements ◽  
New Approach ◽  
Power Delivery Network ◽  
Capacitor Placement ◽  
Minimum Number ◽  
Artificial Neural Network Ann

An iterative optimization for decoupling capacitor placement on a power delivery network (PDN) is presented based on Genetic Algorithm (GA) and Artificial Neural Network (ANN). The ANN is first trained by an appropriate set of results obtained by a commercial simulator. Once the ANN is ready, it is used within an iterative GA process to place a minimum number of decoupling capacitors for minimizing the differences between the input impedance at one or more location, and the required target impedance. The combined GA–ANN process is shown to effectively provide results consistent with those obtained by a longer optimization based on commercial simulators. With the new approach the accuracy of the results remains at the same level, but the computational time is reduced by at least 30 times. Two test cases have been considered for validating the proposed approach, with the second one also being compared by experimental measurements.

Effective power delivery filtering of mixed-signal systems with negligible radiated emission

2016 ◽  
Vol 5 (4) ◽  
pp. 128-132 ◽  
Author(s):  
Mohammad Ali Khorrami ◽  
Paul Dixon ◽  
Yoeri Arien ◽  
John Song
Keyword(s):  
Power Delivery ◽  
Effective Power ◽  
Mixed Signal ◽  
Signal Systems ◽  
Radiated Emission

scholarly journals Efficient Iterative Process based on an Improved Genetic Algorithm for Decoupling Capacitor Placement at Board Level

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1219 ◽  
Author(s):  
de Paulis ◽  
Cecchetti ◽  
Olivieri ◽  
Piersanti ◽  
Orlandi ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Frequency Spectrum ◽  
Input Impedance ◽  
Iterative Process ◽  
Power Delivery ◽  
Improved Genetic Algorithm ◽  
Decoupling Capacitors ◽  
Power Delivery Network ◽  
Capacitor Placement ◽  
Board Level

To reduce the noise created by a power delivery network, the number, the value of decoupling capacitors and their arrangement on the board are critical to reaching this goal. This work deals with specific improvements, implemented on a genetic algorithm, which used for the optimization of the decoupling capacitors in order to obtain the frequency spectrum of the input impedance in different positions on the network, below previously defined values. Measurements are performed on a specifically manufactured board in order to validate the effectiveness of the proposed algorithm and the optimization results obtained for a specific example board.

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