The ill-posed nature of inverse problems suggests that a solution be obtained through an optimization method. Genetic algorithms (GAs) effectively locate the global optimum, and are therefore an appealing technique to solve inverse problems. GAs mimic biological evolution, refining a set of solutions until the best solution is found. In this report, a genetic algorithm is developed and demonstrated based on a simple problem of determining the equation of a straight line. Then the GA is modified and implemented to estimate the temperature distribution in a gas based on the measured infrared tranmissivity distribution. The ulitimate task of this inverse method will be determination of the gas composition based on these transmissivity measurements.
An Inverse Method Using a Genetic Algorithm to Determine Spatial Temperature Distribution From Infrared Tranmissivity Measurements in a Gas
- Views Icon Views
- Share Icon Share
- Search Site
Woodbury, KA, Graham, C, Baker, J, & Karr, C. "An Inverse Method Using a Genetic Algorithm to Determine Spatial Temperature Distribution From Infrared Tranmissivity Measurements in a Gas." Proceedings of the ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. Volume 4. Charlotte, North Carolina, USA. July 11–15, 2004. pp. 869-875. ASME. https://doi.org/10.1115/HT-FED2004-56779
Download citation file: