**5. Conclusions**

In this paper, five evolutionary algorithms—PSO, DE, ABC, ACO, and BFOA—were analyzed and reviewed. The discussed evolutionary algorithms are competent enough to obtain global peak power even in rapidly varying atmospheric conditions and also during shading. The operating principle of the said algorithms varies along with their choice of operating parameters. The review paper also discussed the use of those MPPT techniques by hybridizing them along with other MPPT techniques. This method improves the performance as compared to the standard versions. Each algorithm has its own merits and demerits, which are discussed in the review article, which gives a brief idea regarding selecting one MPPT technique for partially shaded PVs. The practical implementation of these algorithms still remains quite complex due to their effectiveness, reliability, cost for implementation, nature of coding involved, etc., in multi-objective functions. The advent of advanced processors and simulation compatible hardware tools has made the process effective. Potential tools like hardware in loop (HIL), dSPACE, etc., facilitates the pragmatic hardware realization of a real-time scenario. Taking into account the necessity of MPPT for partially shaded PV, there is a wide scope of research for finding new efficient MPPT techniques. This paper has summarized five important global search algorithms that can kindle the interest among the researchers to either modify the five discussed algorithms or propose a new algorithm.

**Author Contributions:** Investigation, writing—original draft, methodology, S.P.; project administration, supervision, writing—review and editing, C.S.; validation, R.S.; resources, T.M.T.T.; software, S.P.

**Funding:** This research received no external funding.

**Conflicts of Interest:** The authors declare no conflict of interest.
