Tactical flight optimizer: a novel optimization technique tested on mathematical, mechanical, and structural optimization problems

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dc.authoridMoloodpoor, Mahsa/0000-0002-2235-9896
dc.authoridMortazavi, Ali/0000-0002-6089-7046;
dc.contributor.authorMortazavi, Ali
dc.contributor.authorMoloodpoor, Mahsa
dc.date.accessioned2025-09-28T09:41:07Z
dc.date.available2025-09-28T09:41:07Z
dc.date.issued2025
dc.departmentEğe Üniversitesi
dc.description.abstractThe current study presents a novel gradient-free metaheuristic search algorithm named Tactical Flight Optimizer (TFO), tailored to meet the growing need for high-performance optimization techniques in solving complex engineering and mathematical problems. The main contribution of this study is the development of a method that simulates tactical air combat formations, offering a sophisticated alternative to conventional search algorithms. In the proposed method, the location of each agent is updated based on a resultant vector derived from three updating vectors. The updating vectors incorporate total information stored by the agents in each iteration. Consequently, the navigation process is guided by a more logical mechanism rather than a simple random process. The search performance of the TFO is initially benchmarked by solving a set of constrained mathematical functions. Subsequently, it is evaluated by addressing a suite of constrained mechanical and structural problems, containing both discrete and continuous decision variables. The obtained results are compared with five other well-stablished metaheuristic techniques. Acquired numerical results indicate that the TFO algorithm can provide promising results in solving both mathematical and engineering problems in terms of computational cost, accuracy, and stability.
dc.identifier.doi10.1515/mt-2024-0327
dc.identifier.endpage352
dc.identifier.issn0025-5300
dc.identifier.issn2195-8572
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85216522058
dc.identifier.scopusqualityQ2
dc.identifier.startpage330
dc.identifier.urihttps://doi.org/10.1515/mt-2024-0327
dc.identifier.urihttps://hdl.handle.net/11454/120251
dc.identifier.volume67
dc.identifier.wosWOS:001401087000001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWalter De Gruyter Gmbh
dc.relation.ispartofMaterials Testing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWoS_20250927
dc.subjectoptimization techniques
dc.subjectmetaheuristic algorithms
dc.subjectconstrained optimization problems
dc.subjectunconstrained optimization problems
dc.subjectdiscrete and continuous variables
dc.titleTactical flight optimizer: a novel optimization technique tested on mathematical, mechanical, and structural optimization problems
dc.typeArticle

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