TIGER Algorithm
Saman Darvish Kermany · 2020
TIGER Algorithm (TA) is a metaheuristic algorithm that has been designed for finding global and some noticeable local optimization points. TIGER algorithm is the abbreviation of “Target Identify with Gross Error Reduction algorithm” but it follows the Tigers' life and behaviors which include; Birth, Migration, Migration of cubs (children), Death, Suicide, Prowl, Rivalry mating and signing. Optimization problems would be solved in a noticeable time if they are so complicated, but this algorithm tries to solve them as fast as possible and the main difference between TA and other metaheuristic algorithms is that TIGER algorithm doesn't need to initialize the population and it adjusts the population by producing new tigers or deleting them for solving optimization problems efficiently. In this article some definitions of this algorithm are described but, just some of them are used in optimization for simplicity. TIGER algorithm could be used for engineering design or business planning and other cases.