Abstract
Main hurdles in the application of genetic algorithms to complex problems are two folds. One is the high computational cost due to their slow convergence rate. The other is to reduce the input parameters of a conventional genetic algorithm as in the case of tomographic reconstruction of bubbles. In our present work great strides have been made to alleviate both the problems by using a Hybrid model of Algebraic Reconstruction Technique (ART), Simplex Method and Genetic Algorithm (GA).
| Original language | English |
|---|---|
| Pages (from-to) | 515-521 |
| Number of pages | 7 |
| Journal | American Society of Mechanical Engineers, Heat Transfer Division, (Publication) HTD |
| Volume | 361-5 |
| State | Published - 1998 |
| Externally published | Yes |
| Event | Proceedings of the 1998 ASME International Mechanical Engineering Congress and Exposition - Anaheim, CA, USA Duration: 15 Nov 1998 → 20 Nov 1998 |