Optimizing Gear System Design Using Orca Optimization Algorithm

This research paper presents an innovative approach for optimizing gear system design using the Orca Optimization Algorithm. Gears are essential components in various mechanical systems and their performance directly impacts efficiency and functionality. The Orca Optimization Algorithm, inspired by the behavior of orcas in capturing prey, offers a unique perspective on addressing gear system design challenges. The algorithm’s ability to dynamically adapt its parameters enhances its efficiency in traversing complex design spaces. The paper demonstrates the algorithm’s effectiveness through a comprehensive case study, highlighting its capability to identify optimal gear system configurations, considering multiple design objectives and constraints.