NOVEL REMINISCENCE INSPIRED AND APPROXIMATION BASED MEASUREMENT OF MOUNT KAILASH OPTIMIZATION ALGORITHMS
DOI:
https://doi.org/10.55766/sujst-2024-01-e03075Abstract
Reminiscence inspired optimization algorithm (RIA) and Approximation based Measurement of Mount Kailash optimization (MMK) algorithm are applied to solve the true power loss reduction problem. Reminiscence inspired optimization algorithm is scientifically designed based on the reminiscence of human beings around the globe. In the procedure poor solutions are replaced by the present solutions consecutively. In the Approximation Measurement of the Mount Kailash optimization algorithm, the measurement of Mount Kailash is done by approximation of comparison with triangles in the four faces of the Mount Kailash. The first measurements on the east face of Mount Kailash are done through the approximation of the triangle and from this population created in the search space. The key objectives of the paper are true power loss reduction, voltage deviation minimization, and voltage stability enhancement. Validity RIA and MMK are verified in 23 Benchmarking functions and IEEE 30, 354 systems.
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