Optimum design of diversion weirs with grey wolf optimization

Abstract

Water structures known as diversion weirs are built to control water flow and raise water levels. There are two distinct goals for this investigation. Making a minimal cost structure profile is the first step. Finding the constraint functions that are significant in various scenarios is the second step. While performing optimization, it is necessary to provide all constraint functions. On the other hand, while a single constraint function takes a value close to the limit value, the others move towards a safer area. The research looks at the most significant constraint functions considering this circumstance. One of the meta-heuristic techniques, the Grey Wolf algorithm, was used for these two goals. 500 iterations and 100 Grey Wolves were utilized while all models were running. Furthermore, every scenario will be executed thirty times, and the mean and standard deviation of the outcomes will be analyzed to assess the models' dependability. Finally, an interface that users who do not know how to use the program can easily use was created, and it was turned into a simple application.