To Adequately design density and distribution of rain- gauges in rainfall networks of each region, is an

effective step toward success of water projects, regional programming and proper use of information. In

this research, the locations of new rain- gauges in rainfall network of Gav-khuni basin have been determined

using transinformation entropy concept based on annual rainfall data of stations (1356-1385).

Sequential and genetic algorithms have been used in order to seleet the proper rain- gauges sites. Two

objectives of maximizing the minimum transinformation entropy and maximizing the mean of transinformation

entropy have been defined for each algorithm. Then the performances of different models have

been compared. The results imply on the better performance and relative supremacy of genetic algorithm,

with maximizing the minimum entropy (maximum supremacy is +1.31, +1.34 and +0.12% in zone 1, 2 and

3, respectively) and maximizing the mean entropy (maximum supremacy is +0.35, +0.21 and +0.02% in

zone 1, 2 and 3 respectively) objectives to sequential algorithm.