genetic algorithms – TechConnect Briefs

Optimizing Quantum Well Solar Cell Efficiency through Genetic Algorithms

Pacheco M.A., Pontifical Catholic University, Rio de Janeiro, BR

In this work, a study of quantum well solar cells (QWSCs) is carried through. The use of quantum wells was pointed as a tool to increase the efficiency of photovoltaic. The objective is to describe [...]

Optimizing Quantum Well Solar Cell Efficiency through Genetic Algorithms

Pacheco M.A., Pontifical Catholic University, Rio de Janeiro, BR

In this work, a study of quantum well solar cells (QWSCs) is carried through. The use of quantum wells was pointed as a tool to increase the efficiency of photovoltaic. The objective is to describe [...]

Transition from exo to endo Cu absorption in SinCu clusters: A Genetic Algorithms Density Functional Theory (DFT) Study

Oña O.B., Ferraro M.B., Facelli J.C., University of Utah, US

The characterization and prediction of the structures of metal silicon clusters is important for nanotechnology research because these clusters can be used as building blocks for nano devices. Several authors have postulated that there is [...]

Bio-inspired Integrated Circuits for Signal Perception and Processing

Abdel-Aty-Zohdy H.S., Ewing R.L., Oakland University, US

Bio-inspired systems utilizing neural networks and genetic algorithms are presented in this paper for pattern discovery, identification, classification, and optimum choices for Signal Perception and Processing (SPP). Sample applications are presented for: (I) Integrated Intelligent [...]

Optimization of a Micro Actuator Plate Using an Evolutionary Algorithm and Simulation Based on Discrete Element Methods

Quinte A., Jakob W., Scherer K.P., Eggert H., Forschungszentrum Karlsruhe, DE

Within the framework of the OMID joint project (1999 - 2002) funded by the BMBF, a universal, fluidically driven actuator plate is being developed in cooperation with the project partners of Bartels Mikrotechnik GmbH and [...]

Extraction of Compact Model Parameters for ULSI MOSFETs Using a Genetic Algorithm

Watts J., Bittner C., Heaberlin D., Hoffman J., IBM Microelectronics Division, US

Extracting an optimal set of parameter values for an FET device model is a complex problem. The final model must not only describe the performance of a set of hardware to an acceptable level of [...]