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- 01GKBBSMF4FEE7YWDVD3SZP4GP classification A1.
- 01GKBBSMF4FEE7YWDVD3SZP4GP date "2023".
- 01GKBBSMF4FEE7YWDVD3SZP4GP language "eng".
- 01GKBBSMF4FEE7YWDVD3SZP4GP type journalArticle.
- 01GKBBSMF4FEE7YWDVD3SZP4GP hasPart 01GKBBVTB90YHJ0744KSA7ZVQQ.pdf.
- 01GKBBSMF4FEE7YWDVD3SZP4GP hasPart 01GS2WC3QJ11QWZKS7ATP5XEK9.docx.
- 01GKBBSMF4FEE7YWDVD3SZP4GP subject "Technology and Engineering".
- 01GKBBSMF4FEE7YWDVD3SZP4GP doi "10.1016/j.advengsoft.2022.103363".
- 01GKBBSMF4FEE7YWDVD3SZP4GP issn "0965-9978".
- 01GKBBSMF4FEE7YWDVD3SZP4GP issn "1873-5339".
- 01GKBBSMF4FEE7YWDVD3SZP4GP volume "176".
- 01GKBBSMF4FEE7YWDVD3SZP4GP abstract "This paper presents the application of a new Shrimp and Goby Association Search algorithm (SGA) to solve large-scale global optimization problems. The performance of SGA is assessed using 13 benchmark high-dimensional functions, 10 classical benchmark functions, and several real-world engineering applications. For the first time, an efficient optimization approach for structural health monitoring (SHM) in truss-like structures is presented. The proposed approach is applied for damage identification of complex structures. A real structure, namely Canton Tower in Guangzhou, China, is served as an example for damage detection. Interestingly, this tower was the tallest structure in the world in 2009 with a height of 610 m. The great merit of this example is that it provides a real complex structure with a high-dimensional problem to assess the performance of SGA in the real world. The results show that SGA can deal with this problem effectively, at the same time, it operates better to escape from local optima with faster convergence rate than population-based algorithms.".
- 01GKBBSMF4FEE7YWDVD3SZP4GP author 2223D1E4-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GKBBSMF4FEE7YWDVD3SZP4GP author 53853904-5aaa-11eb-a639-bea1d9a300bc.
- 01GKBBSMF4FEE7YWDVD3SZP4GP author 70cc7ead-77bd-11eb-8f2c-92419ab592be.
- 01GKBBSMF4FEE7YWDVD3SZP4GP author 7CA61B3A-14CB-11E7-8706-2E88AD28A064.
- 01GKBBSMF4FEE7YWDVD3SZP4GP dateCreated "2022-12-03T06:46:49Z".
- 01GKBBSMF4FEE7YWDVD3SZP4GP dateModified "2024-12-12T17:41:03Z".
- 01GKBBSMF4FEE7YWDVD3SZP4GP name "A new metaheuristic algorithm : Shrimp and Goby association search algorithm and its application for damage identification in large-scale and complex structures".
- 01GKBBSMF4FEE7YWDVD3SZP4GP pagination urn:uuid:0b35a04e-359c-4339-930f-62ca55fde810.
- 01GKBBSMF4FEE7YWDVD3SZP4GP sameAs LU-01GKBBSMF4FEE7YWDVD3SZP4GP.
- 01GKBBSMF4FEE7YWDVD3SZP4GP sourceOrganization urn:uuid:5d3e4293-a715-44d3-805b-1959746b6ebf.
- 01GKBBSMF4FEE7YWDVD3SZP4GP type A1.