genetic algorithm – TechConnect Briefs

Simulation-Based Evolutionary Approach to Electrical Characteristic Optimization of Silicon Solar Cells

Lu Z-L, National Chiao Tung University, TW

Solar cell [1], which can provides renewable and clean energy by converting sunlight to electrical power, is one of the most promising energy technologies in order to relieve the impact of the climate change. Yet, [...]

Finite Element Method and Genetic Algorithm for Analysis MEMS

Ortiz V.H., Chairez I., Biochip Bubbles, MX

This paper presents an analysis of the finite element method (FEM) and genetic algorithms for the analysis of MEMS and BIOMEMS design. The finite element method is the method used for the computational analysis of [...]

Characterization and Optimization Design of the Polymer-based Capacitive Micro-arrayed Ultrasonic Transducer

Chiou D.Y., Chen M.Y., Chang M.W., Deng T.M., RFID Technology Center/Industrial Technology Research Institute (RTC/ITRI), TW

The polymer-based capacitive micro-arrayed ultrasonic transducer (P-CMUT) have been shown to be a more attractive alternative to conventional CMUT in terms of “flexibility” that can be applied in many areas, ranging from consumer electronics to [...]

Optimization of Disk-type Piezoelectric Transformers

Kuo C-W, Kang C-Y., Huang Y-Y., Lee C-K, Yang Y-J, National Taiwan University, TW

In this work, we present the optimization of two disk-type piezoelectric transformers (PTs) by using the elite Genetic Algorithm (GA) and the finite-element solver, NTUPZE. The design goal is to optimize the voltage gain as [...]

Genetic Algorithm for the Design of Microchip Flow Cytometers

Bang H., Lee W.G., Yun H., Min J.K., Chung C., Chang J.K., Han D-C, Seoul National University, KR

Robot designers and artificial-intelligence researchers have long been inspired by living things. Now, we are trying to mimic some of the most fundamental features of life while designing micro devices. In this paper we proved [...]

Optimization of Piezoelectric Transformers Using Elite Genetic Algorithm

Kang C-Y., Lee C-K, Yang Y-J, National Taiwan University, TW

In this work, we present the optimization work for piezoelectric transformers (PT) by using the elite Genetic Algorithm (GA). The Finite-element solver, NTUPZE, is used to calculate the behaviors of piezoelectric transformers. The design parameters [...]

Methodology for Prediction of Ultra Shallow Junction Resistivities Considering Uncertainties with a Genetic Algorithm Optimization

Renard C., Scheiblin P., de Crécy F., Ferron A., Guichard E., Holliger P., Laviron C., CEA-LETI, FR

The accurate prediction of arsenic activation after spike annealing is mandatory for Ultra Shallow Junction (USJ) sheet resistance optimization for advanced NMOS transistors engineering. For the first time, we propose a fast and efficient methodology [...]

Evolving Molecular Force Field Parameters for Si and Ge

Globus A., Ricks E., Menon M., Srivastava D., CSC at NASA Ames, US

A genetic algorithm (GA) has been developed to fit parameters for multi-species reactive inter-atomic force field functions. While GA has successfully parameterized force fields in the past [Hunger, Beyreuther, Huttner, Allinger, Radelof, Zsolnai (1998), Hunger, [...]

Application of Genetic Algorithm to Compact Model Parameter Extraction

Cai X., Wang H., Gu X., Gildenblat G., Bendix P., Penn State University, US

The total number of model parameters in compact MOSFET models is usually between 50 and 300, necessitating an elaborate extraction process. Gradient-based optimization techniques were found to be useful but somewhat limited in their scope. [...]

High Speed Extraction of Process Model Parameters for 70nm Technology using a Distributed Genetic Algorithm

Murakawa M., Oda Y., Amakawa H., Baba S., Higuchi T., Nishi K., AIST, JP

In this paper, we show, for the first time, GA application to process model calibration. We propose a distributed GA based calibration technique combined with the traditional local optimization algorithm, which reduces time for calibration [...]