Critical Evaluation of Genetic Algorithm Based Fuel Cell Parameter Extraction
نویسندگان
چکیده
منابع مشابه
Genetic Algorithm Based MOSFET Model Parameter Extraction
The Levenberg-Marquardt (LM) minimization algorithm commonly employed in MOSFET model parameter extraction has several known deficiencies, such as poor convergence characteristics without a good initial guess, low likelihood of convergence to the globally optimal solution, and difficulty with simultaneous multiobjective optimizations. Furthermore, conventional tools require an expert user with ...
متن کاملGenetic Algorithm-based Parameter-Extraction for Power GaAs MESFET
A modified genetic algorithm is presented for parameter extraction of small signal equivalent of microwave power GaAs MESFET. A new approach of genetic algorithm-based model in the paper is applied to determine the equivalent circuit elements of GaAs MESFET directly from measured S-parameters biased in the active region. The results of calculation show that the method presented is suitable for ...
متن کاملSolar cell parameter extraction using genetic algorithms
In this paper, a technique based on genetic algorithms is proposed for improving the accuracy of solar cell parameters extracted using conventional techniques. The approach is based on formulating the parameter extraction as a search and optimization problem. Current–voltage data used were generated by simulating a two-diode solar cell model of specified parameters. The genetic algorithm search...
متن کاملImproved Genetic Algorithm in SPICE OPUS for Model Parameter Extraction
SPICE is a widely used tool for simulation of analog circuits. Accurate models of devices are crucial for obtaining realistic results from the simulation. Although SPICE provides circuit designers with built-in models for most widely used devices many devices still must be modelled with subcircuit models in order to achieve sufficient accuracy. The hardest part of creating a SPICE model for a p...
متن کاملMos Parameter Extraction and Optimization with Genetic Algorithm
Extracting an optimal set of parameter values for a MOS device is great importance in contemporary technology is a complex problem. Traditional methods of parameter extraction can produce far from optimal solutions because of the presence of local optimum in the solution space. Genetic algorithms are well suited for finding near optimal solutions in irregular parameter spaces. In this study*, W...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energy Procedia
سال: 2015
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2015.07.244