A New Version of Modified Camel Algorithm for Engineering Applications

Abstract

The new modified camel algorithm (NMCA) is presented as a novel optimization method for tackling optimization problems in this research. The modified camel algorithm (MCA) and other metaheuristic algorithms are not the same as NMCA.Where it offers a fresh perspective on global optimization. The suggested method is validated using power distribution system challenges (engineering problems) that are frequently encountered in the optimization field. The IEEE 69-and 33-bus systems were used in the simulations. The NMCA algorithm was able to find the best answers in a variety of test circumstances. The findings of the NMCA are compared to those of the MCA and other well-known optimization techniques. The findings suggest that the NMCA is capable of addressing optimization problems effectively.

Position Control of Linear Synchronous Reluctance Motor Using a Modified Camel Traveling Algorithm-Based Proportional Integral Controller

“…The structure of the modified camel algorithm MCTA that mimics camels travelling behavior is easy because there are less setting parameters than in the old one. In order to implement the MCTA, it is suggested that N camels (the Camel Caravan) move through a (D)-dimensional environment of camels, and it is shown that the flow is (𝑥 𝑖,𝑖𝑡𝑟 ) which represents the location of the camel (i) at time iteration (itr) [28,29].…”