Nature-inspired metaheuristic algorithms for optimization
Nitin Uniyal, Sangeeta Pant, Anuj Kumar, Prashant Pant · 2022
With the advancement of technologies in engineering science, there has always been an advent of optimization for further refinement. Albeit not abruptly but still with considerable consistency, multi-objective metaheuristic optimization methods extend their roots in almost all complex engineering problems. This chapter gives an overview of the most interesting class, that is, nature-inspired optimization algorithms evolved in due course of time and inspiration from nature. A mathematical analysis is kept prominent in all sections for a better understanding of the method to the young researchers.