การหาค่าเหมาะสมที่สุดโดยพฤติกรรมของกว่าง: กรณีปัญหาการจัดเส้นทางการเดินพนักงานขาย

Optimization of methods for solving equations and engineering problems is currently important. The Traveling Salesman Problem (TSP) is a NP-complete problem solving technique employing the principles of meta-heuristics. This paper proposed a Siamese Rhinoceros Beetles Algorithm (SiRBA), which imitates the behavior of Siamese Rhinoceros Beetles. Movement toward light, food, reproduction and escaping from enemies are used to create a SiRBA which is then used to find the maximum and minimum value of functions, applied to solving engineering problems. Principles of the movement toward the light and smell by flying during an away from solution, Vibration and smell by walking at the near solution. The SiRBA was tested with a quadratic function and the Traveling Salesman Problem (Symmetric TSP). SiRBA was effective at finding a solution. [ABSTRACT FROM AUTHOR]