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An Enhanced Whale Optimization Algorithm for the Two-Dimensional Irregular Strip Packing Problem

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Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices (IEA/AIE 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12144))

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Abstract

In this paper, we propose an enhanced whale optimization algorithm for the two-dimensional strip packing problem, which requires cutting a given set of polygons from a sheet with fixed-width such that the used length of the sheet is minimized. Based on the original whale swarm algorithm, this algorithm introduces strategies such as adaptive weighting factors, local perturbation, and global beat variation, which can better balance the global optimization and local optimization search capabilities of the whale algorithm. The proposed algorithm was tested using the standard test case and compared with other algorithms in the literature. The results show that the proposed algorithm can improve the best-known solution for some instances.

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Authors and Affiliations

  1. Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou, 510006, China

    Qiang Liu, Zehui Huang, Hao Zhang & Lijun Wei

Authors
  1. Qiang Liu
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  2. Zehui Huang
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  3. Hao Zhang
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  4. Lijun Wei
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Corresponding author

Correspondence to Lijun Wei .

Editor information

Editors and Affiliations

  1. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  2. Harbin Institute of Technology (Shenzhen), Shenzhen, China

    Philippe Fournier-Viger

  3. Texas State University, San Marcos, TX, USA

    Moonis Ali

  4. Iwate Prefectural University, Takizawa, Japan

    Jun Sasaki

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Liu, Q., Huang, Z., Zhang, H., Wei, L. (2020). An Enhanced Whale Optimization Algorithm for the Two-Dimensional Irregular Strip Packing Problem. In: Fujita, H., Fournier-Viger, P., Ali, M., Sasaki, J. (eds) Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices. IEA/AIE 2020. Lecture Notes in Computer Science(), vol 12144. Springer, Cham. https://doi.org/10.1007/978-3-030-55789-8_22

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  • DOI: https://doi.org/10.1007/978-3-030-55789-8_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-55788-1

  • Online ISBN: 978-3-030-55789-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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