A Brief Survey on Nature Inspired Algorithms: Clever Algorithms for Optimization

Abstract

This paper presents a brief survey on various optimization algorithms. To be more precise, the paper elaborates on clever Algorithms – a class of Nature inspired Algorithms. The Nature Inspired Computing (NIC) is an emerging area of research that focuses on Physics and Biology Based approach to the Algorithms for optimization. The Algorithms briefed in this paper have understood, explained, adapted and replicated the phenomena of Nature to replicate them in the artificial systems. This Cross – fertilisation of Nature Inspired Computing (NIC) and Computational Intelligence (CI) will definitely provide optimal solutions to existing problems and also open up new arenas in Research and Development. This paper briefs the classification of clever algorithms and the key strategies employed for optimization.

A 2020 taxonomy of algorithms inspired on living beings behavior

“…Surveys span in many cases all kind of algorithms; however many of them have been proposed recently; it maybe because the year 2020 is iconic. The most numerous surveys are related with nature inspired algorithms Agarwal and Mehta [2014], Siddique and Adeli [2015], Sindhuja et al [2018], Krishnaveni [2019], , Yang [2020], Sureka et al [2020], Odili et al [2018], or bio-inspired algorithms Binitha and Sathya [2012], Pazhaniraja et al [2017], Amry and Al-Gaphari [2018], Del Ser et al [2019]; specific swarm intelligence algorithms and metaheuristics or population based algorithms Ruiz-Vanoye et al [2012], Xing and Gao [2019], , Ma et al [2019] Also, a review of applications of swarm intelligence has been made to establish more algorithms. Application of nature inspired algorithms can be found in several areas, not only optimization; however from all natural inspired algorithms, swarm intelligent are the most highlighted.…”