Title :
Genetically engineered microelectronic infrared filters
Author :
Cwik, Tom ; Klimeck, Gerhard
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
A genetic algorithm is used for design of infrared filters and in the understanding of the material structure of a resonant tunneling diode. These two components are examples of microdevices and nanodevices that can be numerically simulated using fundamental mathematical and physical models. Because the number of parameters that can be used in the design of one of these devices is large, and because experimental exploration of the design space is unfeasible, reliable software models integrated with global optimization methods are examined. The genetic algorithm and engineering design codes have been implemented on massively parallel computers to exploit their high performance. Design results are presented for the infrared filter showing new and optimized device design
Keywords :
filters; genetic algorithms; optimisation; resonant tunnelling diodes; telecommunication computing; engineering design codes; genetic algorithm; genetically engineered microelectronic infrared filters; global optimization; massively parallel computers; microdevices; nanodevices; optimized device design; reliable software models; resonant tunneling diode; Algorithm design and analysis; Diodes; Filters; Genetic algorithms; Genetic engineering; Mathematical model; Microelectronics; Numerical simulation; Optimization methods; Resonant tunneling devices;
Conference_Titel :
Evolvable Hardware, 1999. Proceedings of the First NASA/DoD Workshop on
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7695-0256-3
DOI :
10.1109/EH.1999.785459
