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The hDEBSA Global Optimization Method: A Comparative Study on CEC2014 Test Function and Application to Geotechnical Problem

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Bio-inspired Neurocomputing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 903))

Abstract

In geotechnical engineering, investigation of seismic earth pressure coefficient is a fundamental theme of study for retaining wall. During this study, the seismal active earth pressure coefficient on the rear of the wall supporting c − Φ backfill has been formulated by the help of limit equilibrium method. This type of problems is highly complex nonlinear optimization problems. Therefore, it will very be difficult to analyze the problem using classical optimization techniques. A hybrid algorithm called hDEBSA has been discussed in the present study which was proposed by joining the parts of DE with the segments of BSA calculation to investigation the pseudo-static seismic dynamic earth pressure coefficient. In hDEBSA, a modification of parameter of DE and BSA has been performed through self-adaption-based. The proficiency of the hDEBSA has been checked through CEC2014 test functions and applied to analyze the coefficient of seismic active earth pressure on the rear of the retaining wall supportive \(c -\Phi\) backfill. The result obtained by this algorithm is compared with state-of-the-art other algorithms and are found to be in agreement. The achieved results of active earth pressure coefficient are in contrast with different results available found in the literature. Additionally, the impact of seismic parameters, soil and wall parameters on the earth pressure coefficient has been investigated.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Ramthakur College, Agartala, A.D. Nagar, West Tripura, 799003, India

    Sukanta Nama

  2. Department of Mathematics, National Institute of Technology Agartala, Tripura, 799046, India

    Apu Kumar Saha

  3. Department of Civil Engineering, National Institute of Technology Agartala, Tripura, 799046, India

    Arijit Saha

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  1. Sukanta Nama
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  2. Apu Kumar Saha
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  3. Arijit Saha
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Correspondence to Apu Kumar Saha .

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Editors and Affiliations

  1. Sikkim Manipal Institute of Technology, Rangpo, Sikkim, India

    Akash Kumar Bhoi

  2. KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Pradeep Kumar Mallick

  3. National Taipei University of Technology, Taipei, Taiwan

    Chuan-Ming Liu

  4. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

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Nama, S., Saha, A.K., Saha, A. (2021). The hDEBSA Global Optimization Method: A Comparative Study on CEC2014 Test Function and Application to Geotechnical Problem. In: Bhoi, A., Mallick, P., Liu, CM., Balas, V. (eds) Bio-inspired Neurocomputing. Studies in Computational Intelligence, vol 903. Springer, Singapore. https://doi.org/10.1007/978-981-15-5495-7_12

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