Performance Evaluation of Ingenious Crow Search Optimization Algorithm for Protein Structure Prediction

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 efficiency than conventional tools. The work presented paper development testing Ingenious Crow Search Algorithm (ICSA). First, algorithm tested on standard mathematical functions known properties. Then, application newly developed ICSA explored prediction. efficacy a bench artificial proteins real medium length. comparative analysis optimization performance carried out some leading variants crow search (CSA). statistical comparison results shows supremacy almost all sequences.