Metaheuristics algorithms to identify nonlinear Hammerstein model: a decade survey

Metaheuristics have been acknowledged as an effective solution for many difficult issues related to optimization. The metaheuristics, especially swarm’s intelligence and evolutionary computing algorithms, gained popularity within a short time over the past two decades. Various metaheuristics algorithms are being introduced on annual basis applications that more new gradually discovered. This paper presents survey years 2011-2021 multiple particularly swarm identify nonlinear block-oriented model called Hammerstein model, mainly because such has garnered much interest amidst researchers systems. Besides introducing complete various population-based this also investigated some empirically verified actual process plants results. As such, article serves guideline fundamentals of identifying models practitioners, apart from presenting comprehensive summary cutting-edge trends context topic area.