Hourly and daily prediction of sea wave height In the Chabahar area

The waves is important, because of it’s energy and high impact in maritime activities. Considering the effect of wave on marine activities in Chabahar, different factors influencing the wave height were considered in the present study. In this paper, the Wolf Search Algorithm (WSA) was used to predicting wave height in two categories, daily and hourly. For this purpose, the daily data of the year 2007-2011 and hourly data consisting of two month data of the year 2006 were employed. The results of the WSA were compared with Genetic Algorithm (GA) and Harmony Search Algorithm (HS). The WSA had a better performance for both hourly and daily data. So that R2, RMSE, d And MAE predict 0.9497, 0.0704, 0.987 and 0.0483 for hourly prediction and 0.8558, 0.1742, 0.9599 and 0.1138 for daily prediction respectively. The results show the high ability of evolutionary algorithms in wave height prediction in this Region.