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Review on Surrogate-Based Global Optimization with Biomedical Applications

Author

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  • AA Haridy

    (Department of Mathematics, Faculty of Science, Alexandria University, Alexandria, Egypt)

Abstract

Time and accuracy are two key elements that have a significant impact on an algorithm brilliance in many engineering applications. Consequently, many algorithms aim to improve precision and cut down computational costs when resolving contemporary real-life problems. Optimization based on surrogates is considered as an efficient way to keep pace with ever growing problems encountered in modern systems. The design of prosthetic de- vices for people with disabilities involve challenging optimization problems. In such design problems, the relation between the design parameters and the overall performance of the device is complex.

Suggested Citation

  • AA Haridy, 2023. "Review on Surrogate-Based Global Optimization with Biomedical Applications," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 53(3), pages 44786-44792, October.
    • Handle: RePEc:abf:journl:v:53:y:2023:i:3:p:44786-44792
    DOI: 10.26717/BJSTR.2023.53.008409
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