عنوان مقاله [English]
The Imam Khomeini port is one of the ports of Khuzestan province in the Persian Gulf. With 38 active wharves of a 7 kilometers length, it is the largest active port in Iran and the annual dredging volume in this port is about 600 thousand cubic meters, about 400 thousand cubic meters of which pertains to the Duragh canal and about 200 thousand belong to other ports. Taking into account the significantly high rate of sedimentation and dredging costs in this port, this study investigated and evaluated the rates and volumes of sedimentation based on field information and modelings obtained from the Ports and Maritime Organization; moreover, these values were compared with the results obtained from meta-heuristic algorithms under MATLAB software in two-dimensional flow conditions with the presence of all parameters affecting the transfer of sediment along the coast in Imam Khomeini port. Three equations of CERK, Kamphuis and Bayram (CKB) were combined and the optimal coefficients and capabilities were calculated by Differential Evolution, Ant Colony Optimization and Genetic Algorithm, and then evaluation and validation with the values obtained from the available field data, coefficient error and computational capabilities were done using the root mean squares and bias method. It was observed that the coefficients and powers obtained from the genetic algorithm that were placed in the CKB equation have the most overlap with the rate longshore sediment transport from field data.