Although recent advances in desktop computational power have encouraged even
small water utilities to utilize simple computer models, there appears to be a
significant gap in available and required desktop computational resources for the
widespread utilization of advanced computer models. Optimal control of water
distribution systems and optimal calibration of distribution network models are
two problems where there is a need for significant computational power. There has
also been a growing interest on the use of genetic algorithms for several water
resources engineering problems. While genetic algorithms are very robust and
powerful in obtaining optimal solutions, their excessive computational time
requirement has been a serious hindrance in applying this technology for
large-scale real-life problems. One solution to this problem is the parallel
implementation of genetic algorithms on affordable personal computers. This paper
reports the results of a preliminary study that implemented a genetic
algorithm-based calibration model on a network of personal computers. Includes 34 references, table, figure.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 160 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 9 |
| Published : | 01/01/1999 |
