Cat and Mouse Optimization Algorithm (CMOA) Cat and Mouse Optimization Algorithm is a population based metaheuristic optimization algorithm. Cat and Mouse Optimization Algorithm mimic the natural behavior of Cat attack on the mouse and Mouse escape from the Cat. In this algorithm population is divided into 2 groups: Group of Cats and Group of Mice . Cat and Mice scan the whole search space in this algorithm with their random movements. Each member in the population is a solution to the given problem. Initial population is evaluated using objective function and based on their fitness values population is sorted. Best values in the population as calculated using objective function are considered as Population for Mice and worst values in the population are considered as Population for Cats . Position Update Procedure in Cat and Mouse Optimization Algorithm (CMOA): Position Update in CMOA is divided into 2 phases as given below: First, Move Cats Towards Mice. Second, Move Mice away fr
