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Optimal Configuration of Alarm for Ship Engine Room Based on Modified Invasive Weed Optimization Algorithm

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021 (AISI 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 100))

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Abstract

In the event of an accident when a ship is sailing at sea, the sound of the alarm is the only way to notify people to evacuate. Therefore, the location of the alarm is important. The general method is usually equally distributed in space, but the best performance is still not achieved. This paper proposes an optimal spatial configuration method of modified invasive weed optimization algorithm based on neighbor-optimal diffusion, reverse mapping reproduction, and regeneration mechanism. The lack of diversity in individual updates method of traditional invasive weed algorithm makes it easy to fall into the optimal local solution. Neighbor-optimized diffusion and reverse mapping propagation are introduced to improve the diversity of algorithm updates. In addition, a regeneration mechanism is proposed to avoid falling into the optimal local solution. Finally, it is applied to the optimal spatial configuration problem of cabin alarms to achieve the optimal performance of average loudness.

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Acknowledgement

This work was partially supported by the Minjiang University under Grant MJY192026, 2021J011017, 103952021126 and 103952021128.

Author information

Authors and Affiliations

  1. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, 350121, China

    Z. L. Huang, C. Y. Wu, J. R. Guo & F. J. Wang

  2. Industrial Design and Research Institute, Minjiang University, Fuzhou, China

    C. Y. Wu

  3. Department of Electrical Engineering, National Cheng Kung University, No. 1, University Road, Tainan City, 701, Taiwan

    C. C. Huang

Authors
  1. Z. L. Huang
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  2. C. Y. Wu
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  3. J. R. Guo
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  4. F. J. Wang
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  5. C. C. Huang
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Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Faculty of Computers and Artificial Intelligence, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Electrical Engineering and Computer Science, VÅ B-Technical University of Ostrava, Ostrava-Poruba, Moravskoslezsky, Czech Republic

    Václav Snášel

  3. Fujian University of Technology, Shulin District, New Taipei, Taiwan

    Kuo-Chi Chang

  4. Faculty of Science, Helwan University, Cairo, Egypt

    Ashraf Darwish

  5. University of Salford, Manchester, UK

    Tarek Gaber

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Huang, Z.L., Wu, C.Y., Guo, J.R., Wang, F.J., Huang, C.C. (2022). Optimal Configuration of Alarm for Ship Engine Room Based on Modified Invasive Weed Optimization Algorithm. In: Hassanien, A.E., Snášel, V., Chang, KC., Darwish, A., Gaber, T. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021. AISI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-030-89701-7_25

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