New Hybrid Harris Hawks–Cat Swarm Optimization Algorithm for Water Resource Management Simulation-Optimization

The aim of this study is to optimize water resource management in the Jarrahi River Basin with an environmental sustainability approach for the Shadgan International Wetland. The Jarrahi River is one of the rivers in the Persian Gulf and Oman Sea drainage basin, with most of its course located in Khuzestan province. The river's catchment area lies on the southwestern slopes of the Middle Zagros Mountains and is located between 48°45' and 51°10' East longitude and 30°30' to 31°40' North latitude. Its area is 24,300 square kilometers. A water resource planning model for the entire Marun and Jarrahi river system was developed using an optimization approach. The entire Marun-Jarrahi watershed was simulated in a monthly time step over a 60-year period using the WEAP simulator, and five scenarios were defined. The results were then integrated and analyzed using the powerful Shahin Harin meta-exploration algorithm. Based on the results, the release pattern for water utilization within the standard benchmark four and ten tank system using Harris Hawks Optimization (HHO), FPA, and SOS algorithms, the exploitation policies derived from the HHO algorithm with a more optimal release pattern yielded the highest benefit. Additionally, the model with the least water shortage was identified using this approach. These results demonstrate the superior efficiency of the HHO algorithm compared to the other meta-exploration algorithms employed. As a further innovation, study proposes and develops a novel hybrid model combining HHO and Cat Swarm Optimization (CSO) algorithms, referred to as the HHO-CSO algorithm.

New Hybrid Harris Hawks–Cat Swarm Optimization Algorithm for Water Resource Management Simulation-Optimization Keywords:

Algorithm , Jarrahi River , Hybrid Harris Hawks-Cat Swarm Optimization , Water Resource Management