Dynamic Cat Swarm Optimization algorithm for backboard wiring problem

This paper presents a powerful swarm intelligence metaheuristic optimization algorithm called Dynamic Cat Swarm Optimization. The formulation is through modifying the existing Optimization Algorithm. original suffers from shortcoming of “premature convergence,” which possibility entrapment in local optima usually happens due to off balance between exploration and exploitation phases. Therefore, proposed suggests new method provide proper these phases by selection scheme seeking mode algorithm. To evaluate performance algorithm, 23 classical test functions, 10 modern functions (CEC 2019) real-world scenario are used. In addition, dimension-wise diversity metric used measure percentage results show effectiveness ranks first compared several well-known algorithms available literature. Furthermore, statistical methods graphs also further confirm outperformance Finally, conclusion future directions improve discussed.