[PDF][PDF] An optimized device sizing of analog circuits using genetic algorithm
PP Kumar, K Duraiswamy… - European Journal of …, 2012 - researchgate.net
Abstract Design of CMOS circuits form an important part for VLSI implementation. Analog
circuit synthesis might be the most challenging and time-consumed task, because it does not …
circuit synthesis might be the most challenging and time-consumed task, because it does not …
[HTML][HTML] Fast optimization of nano-CMOS voltage-controlled oscillator using polynomial regression and genetic algorithm
D Ghai, SP Mohanty, G Thakral - Microelectronics Journal, 2013 - Elsevier
Fast optimization of CMOS circuits is needed to reduce design cycle time and chip cost and
to enhance yield. Mature electronic design automation (EDA) tools and well-defined …
to enhance yield. Mature electronic design automation (EDA) tools and well-defined …
Computational Intelligence and Wavelet Transform Based Metamodel for Efficient Generation of Not-Yet Simulated Waveforms
G Oltean, LN Ivanciu - Plos one, 2016 - journals.plos.org
The design and verification of complex electronic systems, especially the analog and mixed-
signal ones, prove to be extremely time consuming tasks, if only circuit-level simulations are …
signal ones, prove to be extremely time consuming tasks, if only circuit-level simulations are …
A double-layer genetic algorithm for gm-C filter design
Although analog circuits play an important role in Systems-on-a-chip, their design is effort
and time consuming. Automated design methodologies are elaborated to overcome …
and time consuming. Automated design methodologies are elaborated to overcome …
Design illustration of a symmetric OTA using multiobjective genetic algorithms
Introduction An illustration of an automatic design optimization method for symmetric OTA is
presented in this paper. Our approach exploits the advantages of a real multiobjective …
presented in this paper. Our approach exploits the advantages of a real multiobjective …
Signal approximation using GA guided wavelet decomposition
Signal approximation is a matter of great interest, as working with complete time-sampled
signals requires great memory and computational resources. In order to diminish these …
signals requires great memory and computational resources. In order to diminish these …
[PDF][PDF] FLEXIBLE ASSESSMENT OF MODELS BASED ON NEURO-FUZZY METHODS
AD Matei-Cernăianu, L Guran, N Cernăianu - Descrierea CIP/Description … - papers.ssrn.com
Computational intelligence is the science that aims modeling biological intelligence. Neuro-
fuzzy models describe systems via fuzzy rules „if condition”,„then action”. The most popular …
fuzzy models describe systems via fuzzy rules „if condition”,„then action”. The most popular …