Emperor Penguin Optimizer (EPO) is a recently developed population-based meta-heuristic algorithm that simulates the huddling behavior of emperor penguins. Mixed results have been observed on the performance of EPO in solving general optimization problems. Within the EPO. two parameters need to be tuned (namely ${f}$ and ${l}$ ) to ensure a good balance between exploration (i. https://www.roneverhart.com/Gothic-I-Roll-on-Oil/