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Chaotic implanted opposition-based-quantum equipoise state and Ascidiacea algorithms for loss lessening and power permanence enrichment

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Abstract

In this paper, Chaotic implanted opposition-based-quantum equipoise state (CIOQES) and Ascidiacea (CIOQAA) algorithms are applied to solve the loss diminishing problem. In the projected process, the swapping of capricious data is done with the illogical statistics stimulated by Laplace distribution to augment the aid of the possibility of creation level inside the exploration area. Opposition-based learning is one of the persuasive methods to enhance the convergence swiftness of methods. The prospering application of the opposition-based learning involves appraisal of opposite populace and prevailing populace in the parallel generation to determine the greater entrant elucidation. Quantum mechanics has been combined with the algorithms to emulate the analogous performance with the certain stage as they route in a credible powdered of median. Chaotic sequences are integrated into algorithms to augment the exploration and exploitation. Tinkerbell chaotic map engendering standards are implemented. Chaotic implanted opposition-based-quantum equipoise state (CIOQES) algorithm is based on the idea of quantum mechanics about the quantity, inbound, exodus, and fabrication in the governor capacity. Equipoise state algorithm possesses elements as entrant elucidation, and element’s location is designated as deliberation. Every element’s aptness function is calculated to define the equipoise state of populaces for picking the preeminent solution. Chaotic implanted opposition-based-quantum Ascidiacea (CIOQAA) algorithm is designed to solve the problem. Probing attitudes of Ascidiacea for nutrition spring is imitated to formulate Ascidiacea algorithm. Single end of the Ascidiacea body is continuously resolutely attached to surface like rock or coral. Ascidiacea bottom is corrugated, and core-like postponements will clutch the shallow. Proposed chaotic implanted opposition based-quantum equipoise state (CIOQES) and Ascidiacea (CIOQAA) algorithms are corroborated in G01–G24 benchmark functions, IEEE 30, 57, 118, 300 and 354 bus test systems. Diminished power loss, curtailed power discrepancy, and increased power constancy have been achieved.

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

    Lenin Kanagasabai

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  1. Lenin Kanagasabai
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Correspondence to Lenin Kanagasabai.

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Kanagasabai, L. Chaotic implanted opposition-based-quantum equipoise state and Ascidiacea algorithms for loss lessening and power permanence enrichment. Soft Comput 26, 8183–8202 (2022). https://doi.org/10.1007/s00500-022-07232-3

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