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<p>Optimization algorithms can boost and dedicte efficient solution in a variety of real-world applications leading to make informed decisions adhering to specific constraints. Therefore, to diversify the competetivness of such algorithms in engineering designs, they have been the subject of different improvement. Accordingly, the current study proposes a new enhanced grey wolf optimizer (<i>EGWO</i>) using the expectation value of prey probability distribution to increase accuracy and avoid premature convergence in population range. The proposed <i>EGWO</i> practically was applied to simulate and reconcil the spatialy subsurface distribution of geo-layers through a symmetrical encircled area from retrieved information of the sparsely drilled borehole data. The symmetry condition can address the high deployment cost and insufficient effective coverage of subsurface spatial distribution in geoengineering problems. The capability of <i>EGWO</i> in solving the spatial distribution problem in comparison with other varinats was demonstrated using different metrics and the ratio of the coverage area. As an experimental result, 13.19 to 16.45% improvements in the coverage optimization was assessed by increasing the nodes from 20 to 30.</p>

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An enhanced variant of grey Wolf optimizer for geospatial subsurface analysis

  • 期刊论文

  • 发表日期：

    2025年10月30日

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  • Reza Iraninezhad,
  • Reza Asheghi,
  • Hasan Ahmadi

摘要

Optimization algorithms can boost and dedicte efficient solution in a variety of real-world applications leading to make informed decisions adhering to specific constraints. Therefore, to diversify the competetivness of such algorithms in engineering designs, they have been the subject of different improvement. Accordingly, the current study proposes a new enhanced grey wolf optimizer (EGWO) using the expectation value of prey probability distribution to increase accuracy and avoid premature convergence in population range. The proposed EGWO practically was applied to simulate and reconcil the spatialy subsurface distribution of geo-layers through a symmetrical encircled area from retrieved information of the sparsely drilled borehole data. The symmetry condition can address the high deployment cost and insufficient effective coverage of subsurface spatial distribution in geoengineering problems. The capability of EGWO in solving the spatial distribution problem in comparison with other varinats was demonstrated using different metrics and the ratio of the coverage area. As an experimental result, 13.19 to 16.45% improvements in the coverage optimization was assessed by increasing the nodes from 20 to 30.