Predators Attacks Techniques Algorithm: A Novel Bio-Inspired Algorithm for Engineering Problems

This paper introduces a new bio-inspired meta-heuristic algorithm called the Predator's Attack Technique Algorithm (PATA), which mimics predatory behaviors in nature. The PATA was conceived by drawing inspiration from the inherent behaviors observed in predators. The fundamental inspiration employed in PATA design is the prey search and attack process. The PATA implementation steps are mathematically modeled in two phases: exploration and exploitation. Several standard engineering problems of different difficulties have been successfully solved to prove the effectiveness and superiority of PATA over well-recognized algorithms. In light of the results obtained, the PATA has effectively achieved the most efficient resolution while concurrently upholding adherence to the designated constraints and ranks first out of the majority of solved problems.