Varna-based optimization: a new method for solving global optimization
Автор: Ashutosh Kumar Singh, Saurabh, Shashank Srivastava
Журнал: International Journal of Intelligent Systems and Applications @ijisa
Статья в выпуске: 12 vol.10, 2018 года.
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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.
VBO, optimization, constrained benchmark, unconstrained benchmark
Короткий адрес: https://sciup.org/15016548
IDR: 15016548 | DOI: 10.5815/ijisa.2018.12.01
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