Study of real-world optimization problems using advanced Nature Inspired Algorithms (NIA) discovered from 2019 to 2022

Abstract

Abstract The nature inspired algorithm (NIA) is a very essential research area that continuously facilitates finding the solution of optimization problems. NIA is one of the metaheuristic algorithm categorizations that have attracted researchers from last few decades. NIA contributes notably by dealing with many large-scale problems and attaining optimal outcomes. In this study, NIA discovered from 2019 to 2022 is listed with a brief description. The major objective of this paper is to find some best NIA for finding reasonably better solution of real-world complex optimization problems. Bearing this in mind, we have found eight common engineering problems and analyzed their solution using different NIA algorithms. Our comparative study with bibliographic analysis suggests that there are four algorithms which give us the best result for all mentioned eight engineering problems and gives us an optimal solution. This paper also gives the recent development in NIA and their application in different fields like health care, environment, industrial, commercial, machine learning and smart cities. This will support the new and developing researcher to give a broader view on NIA along with future investigation guidelines.