Efficient Iterative Process Based on an Improved Genetic Algorithm for Decoupling Capacitor Placement at Board Level
Francesco de Paulis,Riccardo Cecchetti,Carlo Olivieri,Stefano Piersanti,Antonio Orlandi,Markus Buecker +5 more
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TLDR
In this paper, a genetic algorithm is 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.Abstract:
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.read more
Citations
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Proceedings ArticleDOI
Genetic Algorithm PDN Optimization based on Minimum Number of Decoupling Capacitors Applied to Arbitrary Target Impedance
TL;DR: An optimization algorithm for accordingly placing decoupling capacitors one-by-one and iteratively evaluating the cost function of each PDN design solution is proposed, leading to a decap configuration that effectively takes into account the decap value, the parasitics inductance, and the decap location.
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Effective PCB Decoupling Optimization by Combining an Iterative Genetic Algorithm and Machine Learning
TL;DR: An iterative optimization for decoupling capacitor placement on a power delivery network (PDN) is presented based on Genetic Algorithm and Artificial Neural Network to effectively provide results consistent with those obtained by a longer optimization based on commercial simulators.
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A Modified Genetic Algorithm for the Selection of Decoupling Capacitors in PDN Design
TL;DR: In this article, a new genetic algorithm (GA) is proposed for the selection and placement of capacitors to meet a target impedance using as few capacitors as possible, which is centered around controlling the number of unused port locations in the GA population solutions, with the result of smoothing out the GA convergence and speeding up the convergence rate.
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Digital Economic Dispatch System Based on Improved Genetic Algorithm
TL;DR: In this article , an improved genetic algorithm was used to find the optimal digital economic dispatching system, so as to make up for the shortcomings of the classical genetic algorithm, which can be applied in many disciplines and has become a hot topic in interdisciplinary research.
References
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Proceedings ArticleDOI
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Overview of Power Integrity Solutions on Package and PCB: Decoupling and EBG Isolation
TL;DR: In this article, the authors reviewed possible solutions based on decoupling or isolation for suppressing power distribution network (PDN) noise on package or printed circuit board (PCB) levels.