In this study, the performance of the algorithms of whale, Differential evolutionary, crow search, and Gray Wolf optimization were evaluated to operate the Golestan Dam reservoir with the objective function of meeting downstream water needs. Also, after defining the objective function and its constraints, the convergence degree of the algorithms was compared with each other and with the absolut...

The conventional crow search (CS) algorithm is a swarm-based metaheuristic that has fewer parameters, easy to apply problems, and utilized in various fields. However, it disadvantage, as for fall into local minima by relying mainly on exploitation find approximations. Therefore, this paper, we propose the advanced (ACS) algorithm, which improves CS solves global optimization problem. ACS three ...

Well placement optimization is considered a non-convex and highly multimodal problem. In this article, modified crow search algorithm proposed to tackle the well This article proposes modifications based on local niching techniques in (CSA). At first, suggested approach verified by experimenting with benchmark functions. For test functions, results of demonstrated higher convergence rate better...

Protein structure prediction is one of the important aspects while dealing with critical diseases. An early protein folding helps in clinical diagnosis. In recent years, applications metaheuristic algorithms have been substantially increased due to fact that this problem computationally complex and time-consuming. Metaheuristics are proven be an adequate tool for problems higher computational e...