International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749

An Overview of Few Nature Inspired Optimization Techniques and Its Reliability Applications

Nitin Uniyal
Department of Mathematics, University of Petroleum & Energy Studies, Dehradun, India.

Sangeeta Pant
Department of Mathematics, University of Petroleum & Energy Studies, Dehradun, India.

Anuj Kumar
Department of Mathematics, University of Petroleum & Energy Studies, Dehradun, India.


Received on June 21, 2019
Accepted on March 15, 2020


Optimization has been a hot topic due to its inevitably in the development of new algorithms in almost every applied branch of Mathematics. Despite the broadness of optimization techniques in research fields, there is always an open scope of further refinement. We present here an overview of nature-inspired optimization with a subtle background of fundamentals and classification and their reliability applications. An attempt has been made to exhibit the contrast nature of multi objective optimization as compared to single objective optimization. Though there are various techniques to achieve the optimality in optimization problems but nature inspired algorithms have proved to be very efficient and gained special attention in modern research problems. The purpose of this article is to furnish the foundation of few nature inspired optimization techniques and their reliability applications to an interested researcher.

Keywords- Metaheuristics, Grey wolf optimizer, Multi-objective optimization, Reliability optimization.


Uniyal, N., Pant, S., & Kumar, A. (2020). An Overview of Few Nature Inspired Optimization Techniques and Its Reliability Applications. International Journal of Mathematical, Engineering and Management Sciences, 5(4), 732-743.

Conflict of Interest

The authors confirm that there is no conflict of interest to declare for this publication.


Support from the University of Petroleum & Energy Studies (UPES), Dehradun for conducting this work is gratefully acknowledged. The authors are also thankful to anonymous reviewers for their suggestions to improve this paper.


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