Crystal Structure Algorithm (CryStAl): A Metaheuristic Optimization Method

Metaheuristics are computational procedures that intelligently lead the search process through efficient exploration of space associated with an optimization problem. With progressive outburst problems large data sets in various fields, there is ongoing quest for enhancing existing metaheuristic algorithms as well developing new ones greater accuracy and efficiency. In general, a powerful algorithm based on rich inspiration source, implemented effectively precise mathematical model. Aiming to develop highly efficient, nature-inspired algorithm, here we propose novel called Crystal Structure Algorithm (CryStAl). This method chiefly inspired by principles underlying formation crystal structures from addition basis lattice points, which natural phenomenon can be seen symmetric arrangement constituents (i.e. atoms, molecules, or ions) crystalline minerals such quartz. A total number 239 functions categorized into four different groups utilized evaluate overall performance proposed method. To validate results this 12 classical modern selected literature. The minimum, mean, standard deviation values alongside function evaluations CryStAl other metaheuristics specific tolerance calculated presented accordingly. obtained results, further supported complete statistical analysis, demonstrated capable providing very competitive outperforming most cases.