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A novel fuzzy adaptive teaching–learning-based optimization (FATLBO) for solving structural optimization problems

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Abstract

This paper presents a new optimization algorithm called fuzzy adaptive teaching–learning-based optimization (FATLBO) for solving numerical structural problems. This new algorithm introduces three new mechanisms for increasing the searching capability of teaching–learning-based optimization namely status monitor, fuzzy adaptive teaching–learning strategies, and remedial operator. The performance of FATLBO is compared with well-known optimization methods on 26 unconstrained mathematical problems and five structural engineering design problems. Based on the obtained results, it can be concluded that FATLBO is able to deliver excellence and competitive performance in solving various structural optimization problems.

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Authors and Affiliations

  1. Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, #43, Sec. 4, Keelung Rd., Taipei, 106, Taiwan

    Min-Yuan Cheng & Doddy Prayogo

  2. Department of Civil Engineering, Petra Christian University, Jalan Siwalankerto 121-131, Surabaya, 60236, Indonesia

    Doddy Prayogo

Authors
  1. Min-Yuan Cheng
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  2. Doddy Prayogo
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Correspondence to Doddy Prayogo.

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Cheng, MY., Prayogo, D. A novel fuzzy adaptive teaching–learning-based optimization (FATLBO) for solving structural optimization problems. Engineering with Computers 33, 55–69 (2017). https://doi.org/10.1007/s00366-016-0456-z

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