International Journal of

Automation and Smart Technology

Lenin Kanagasabai1*


1Department of EEE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh -520007. India

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ABSTRACT


This paper proposes Furcifer - inspired optimization (FIO) algorithm and Nasuella olivacea optimization (NOO) algorithm for solving the problem. Furcifer - inspired optimization (FIO) algorithm designed by emulating the common stalking activities of Furcifer. Furcifer own the competence to recognize the position of quarry by means of the swirl aspect of the eyeballs, and this characteristic creates to identify the prey in round directions. Furcifer pursuits the quarry, when it is disproportionately adjacent and the Furcifer are handy to the quarry and considered as premium Furcifer. Nasuella olivacea optimization (NOO) algorithm designed by imitating the Nasuella olivacea stalking action towards the Ctenosaura bakeri and Validity of Furcifer - inspired optimization (FIO) algorithm and Nasuella olivacea optimization (NOO) algorithm confirmed by verifying in 23 benchmark functions and IEEE systems.


Keywords: Real, Furcifer, Nasuella olivacea


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ARTICLE INFORMATION


Received: 2023-07-31
Revised: 2023-08-16
Accepted: 2023-08-31
Available Online: 2023-08-31


Cite this article:

Kanagasabai, L. (2023) Novel Mathematical Design of Furcifer Inspired and Nasuella Olivacea Optimization Algorithms for Active Power Loss Diminution in Electrical Transmission Network. Int. j. autom. smart technol. https://doi.org/10.5875/ausmt.v13i1.2482

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