Varna-based Optimization: A New Method for Solving Global Optimization

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Ashutosh Kumar Singh 1,* Saurabh 1 Shashank Srivastava 1

1. CSED, Motilal Nehru National Institute of Technology Allahabad, Allahabad, India

* Corresponding author.


Received: 6 Nov. 2017 / Revised: 15 Feb. 2018 / Accepted: 25 Apr. 2018 / Published: 8 Dec. 2018

Index Terms

VBO, optimization, constrained benchmark, unconstrained benchmark


A new and simple optimization algorithm known as Varna-based Optimization (VBO) is introduced in this paper for solving optimization problems. It is inspired by the human-society structure and human behavior. Varna (a Sanskrit word, which means Class) is decided by people’s Karma (a Sanskrit word, which means Action), not by their birth. The performance of the proposed method is examined by experimenting it on six unconstrained, and five constrained benchmark functions having different characteristics. Its results are compared with other well-known optimization methods (PSO, TLBO, and Jaya) for multi-dimensional numeric problems. Our experimental results show that the VBO outperforms other optimization algorithms and have proved the better effectiveness of the proposed algorithm.

Cite This Paper

Ashutosh Kumar Singh, Saurabh, Shashank Srivastava, "Varna-based Optimization: A New Method for Solving Global Optimization", International Journal of Intelligent Systems and Applications(IJISA), Vol.10, No.12, pp.1-15, 2018. DOI:10.5815/ijisa.2018.12.01


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