Migrating birds optimization algorithm and intelligent water drops optimization algorithm efficiency analysis

There are many search and optimization algorithms in the literature. However, the algorithm that gives the best results for all search and optimization problems have not been designed yet. In this study, efficiency analysis was performed by using Migrating Birds Optimization Algorithm and Intelligent Water Drops Optimization Algorithm, which are two algorithms developed inspired by nature. The Migrating Birds Optimization Algorithm is a proposed metaheuristic algorithm inspired by the behavior of migratory bird flocks in nature. It has been proven with the studies that it gives the best result in solving some optimization problem. When migrating birds were examined, it was found that they acted as "V". This movement of birds enables them to spend less energy on the road from source to the destination and to reach the destination in a shorter time. Intelligent Water Drops Optimization Algorithm is an algorithm created by observing that water drops in a natural river always find a shorter path from the source to the destination. When natural water sources such as rivers and seas were examined, it was seen that water drops always chose the easier way (a road with less than other roads) on the road from the source to the destination. Water drops have a non-zero speed and carry soil on them. In the literature, there are metaheuristic and non-metaheuristic algorithms. In this study, it was aimed to improve the problem solving efficiency by determining the randomly selected steps in the steps in the Migrating Birds Optimization Algorithm, which is one of the meteheuristic algorithms in the literature. In order to show that this goal has been achieved on sample problems and presented comparatively.