Multi-objective Pelican Optimization Algorithm for Engineering Design Problems

This work presents an efficient multi-objective version of the Pelican Optimization Algorithm (POA) which is recently proposed in the family of meta-heuristic algorithms. It is called a multi-objective Pelican Optimization Algorithm (MOPOA). From the literature, it is observed that the POA performed well on a set of unconstrained classical optimization problems as well as some engineering design problems. To extend its applicability to multi-objective engineering design models, the MOPOA has been proposed and applied for two engineering design models, four bar truss and speed reducer problems. The obtained results are compared with the literature and they proved that the MOPOA is an efficient and robust optimizer.