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

Cheng, Min-Yuan and Prayogo, Doddy (2017) A novel fuzzy adaptive teaching–learning‑based optimization (FATLBO) for solving structural optimization problems. Engineering with Computers, 33 (1). pp. 55-69. ISSN 0177-0667

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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.

    Item Type: Article
    Uncontrolled Keywords: Optimization, Fuzzy logic, Teaching–learning-based optimization, Structural design problems
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    T Technology > TA Engineering (General). Civil engineering (General)
    Divisions: Faculty of Civil Engineering and Planning > Civil Engineering Department
    Depositing User: Admin
    Date Deposited: 06 Jan 2017 14:47
    Last Modified: 18 Jul 2017 16:24
    URI: http://repository.petra.ac.id/id/eprint/17616

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