{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/finite-element-model-updating-using-fish","title":"Finite Element Model Updating Using Fish School Search Optimization Method","arxiv_id":"1308.2307","date":"2013-08-10","proceeding":null,"authors":["I. Boulkabeit","L. Mthembu","T. Marwala","F. De Lima Neto"],"abstract":"A recent nature inspired optimization algorithm, Fish School Search (FSS) is\napplied to the finite element model (FEM) updating problem. This method is\ntested on a GARTEUR SM-AG19 aeroplane structure. The results of this algorithm\nare compared with two other metaheuristic algorithms; Genetic Algorithm (GA)\nand Particle Swarm Optimization (PSO). It is observed that on average, the FSS\nand PSO algorithms give more accurate results than the GA. A minor modification\nto the FSS is proposed. This modification improves the performance of FSS on\nthe FEM updating problem which has a constrained search space.","url_abs":"http://arxiv.org/abs/1308.2307v1","url_pdf":"http://arxiv.org/pdf/1308.2307v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"finite-element-model-updating-using-fish","repo_url":"https://github.com/nafiuny/AFSA-algorithm","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"nature-inspired-optimization-algorithm","task_name":"Nature-Inspired Optimization Algorithm"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}