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Factual Power Loss Reduction by Meadow Fritillary Butterfly Optimization Algorithm

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Proceedings of the Seventh International Conference on Mathematics and Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1412))

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Abstract

In this work, Improved Meadow Fritillary Butterfly (IMB) optimization algorithm is designed for power loss reduction. In the Meadow Fritillary Butterfly optimization algorithm, the exploration method has two properties of Meadow Fritillary butterflies; in that butterfly adjusting operator in preliminary iterations remarkably directs the exploration procedure in the direction of the present most outstanding solution. To trounce this deficit, firefly’s algorithm exploration method has been incorporated into the standard Meadow Fritillary optimization algorithm. Meadow Fritillary Butterfly (IMB) optimization algorithm validated in IEEE 30 and 57 bus test systems and Decline in loss has been attained.

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Author information

Authors and Affiliations

  1. Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, AP, 520007, India

    Lenin Kanagasabai

Authors
  1. Lenin Kanagasabai
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Editor information

Editors and Affiliations

  1. Department of Information Technology, Maulana Abul Kalam Azad University of Technology, Haringhata, India

    Debasis Giri

  2. The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. Department of Mathematics, Indian Institute of Technology Madras, Chennai, India

    Saminathan Ponnusamy

  4. Technical University of Denmark, Kongens Lyngby, Denmark

    Weizhi Meng

  5. Department of Computer Engineering, Ondokuz Mayis University, Atakum, Turkey

    Sedat Akleylek

  6. Department of Information Technology, Indian Institute of Engineering Science and Technology, West Bengal, India

    Santi Prasad Maity

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kanagasabai, L. (2022). Factual Power Loss Reduction by Meadow Fritillary Butterfly Optimization Algorithm. In: Giri, D., Raymond Choo, KK., Ponnusamy, S., Meng, W., Akleylek, S., Prasad Maity, S. (eds) Proceedings of the Seventh International Conference on Mathematics and Computing . Advances in Intelligent Systems and Computing, vol 1412. Springer, Singapore. https://doi.org/10.1007/978-981-16-6890-6_54

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