The main goal of using floating breakwaters is to provide a sheltered area of calm water in a coastal zone. In the present research, for analyzing the hydrodynamic modeling of pontoon floating breakwaters, the AQWA module of ANSYS was selected. The main parameters that have been considered in this research are the patterns of significant Wave height, Wave period, and draft and the width of floating pontoons. Wave transmission coefficient can be obtained from water surface changes in any point of the leeward. Results of the numerical modeling demonstrate that a pontoon floating breakwater with a relative width of greater than 0.4 has an appropriate performance. Also, it has been found that the transmission coefficient of pontoon floating breakwaters will be in the range of 0.35 to 0.60 if the relative Wave period changes in the range of 1.5 to 4.

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.

Significant Wave height is mean of one third of the largest Wave heights in a certain marine condition. Investigation and prediction of the significant Wave height have been recently considered in marine system analysis including loadings over marine structures and sediment transport for designing, operation and marine researches. The capability of chaos theory in engineering particularly marine engineering has been gaining considerable interest in recent times. In this research, dynamic characteristics of the significant Wave height time series in Caspian Sea at Anzali entrance are considered and the prediction has been performed using ideas gained from chaos theory. To reconstruct phase space, the time delay and embedding dimension are needed and for this purpose, autocorrelation function and algorithm of false nearest neighbors are used. Correlation dimension method is applied for investigating chaotic behavior of the significant Wave height, which is the resultant of correlation dimensions, expresses chaotic behavior in the time series. Local prediction algorithm is used for time series prediction and results illustrate good and acceptable accuracy of chaos theory in quantitative prediction of seas significant Wave height.