TY - GEN
T1 - Evolutionary computational methods for the design of spectral instruments
AU - Terrile, Richard J.
AU - Lee, Seungwon
AU - Tinetti, Giovanna
AU - Fink, Wolfgang
AU - Von Allmen, Paul
AU - Huntsberger, Terrance L.
PY - 2008
Y1 - 2008
N2 - We have developed a technique based on Evolutionary Computational Methods (ECM) that allows for the automated optimization of complex computationally modeled systems. We have demonstrated that complex engineering and science models can be automatically inverted by incorporating them into evolutionary frameworks and that these inversions have advantages over conventional searches by not requiring expert starting guesses (designs) and by running on large cluster computers with less overall computational time than conventional approaches. We have applied these techniques to the automated retrieval of atmospheric and surface spectral signatures from Earthshine observational data. We have demonstrated that in addition to automated spectral retrieval, ECM can also be used to evaluate the discriminability of scientific results as a function of requirements placed on the spectral model. An important application of this technique is for the optimization of design parameters for spectral instruments.
AB - We have developed a technique based on Evolutionary Computational Methods (ECM) that allows for the automated optimization of complex computationally modeled systems. We have demonstrated that complex engineering and science models can be automatically inverted by incorporating them into evolutionary frameworks and that these inversions have advantages over conventional searches by not requiring expert starting guesses (designs) and by running on large cluster computers with less overall computational time than conventional approaches. We have applied these techniques to the automated retrieval of atmospheric and surface spectral signatures from Earthshine observational data. We have demonstrated that in addition to automated spectral retrieval, ECM can also be used to evaluate the discriminability of scientific results as a function of requirements placed on the spectral model. An important application of this technique is for the optimization of design parameters for spectral instruments.
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U2 - 10.1109/AERO.2008.4526675
DO - 10.1109/AERO.2008.4526675
M3 - Conference contribution
AN - SCOPUS:44349144241
SN - 1424414881
SN - 9781424414888
T3 - IEEE Aerospace Conference Proceedings
BT - 2008 IEEE Aerospace Conference, AC
T2 - 2008 IEEE Aerospace Conference, AC
Y2 - 1 March 2008 through 8 March 2008
ER -