Panagant, N.Pholdee, N.Bureerat, S.Sait, SM.2022-11-242022-11-242020-06-01Panagant, N. vd. (2020). "Seagull optimization algorithm for solving real-world design optimization problems", Materials Testing, 62(6), 640-644.0025-5300https://doi.org/10.3139/120.111529https://www.degruyter.com/document/doi/10.3139/120.111529/htmlhttp://hdl.handle.net/11452/29552In this research paper, a new surrogate-assisted metaheuristic for shape optimization is proposed. A seagull optimization algorithm (SOA) is used to solve the shape optimization of a vehicle bracket. The design problem is to find structural shape while minimizing structural mass and meeting a stress constraint. Function evaluations are carried out using finite element analysis and estimated by using a Kriging model. The results show that SOA has outstanding features just as the whale optimization algorithm and salp swarm optimization algorithm for designing optimal components in the industry.eninfo:eu-repo/semantics/closedAccessSeagull optimization algorithmControl armShape optimizationStructural designDifferential evolutionGravitational searchHybrid approachAnt lionCrashworthinessParametersMaterials scienceMechanical engineeringMechanical propertiesDesign problemsKriging modelOptimization algorithmsReal-world designsResearch papersStress constraintsStructural massStructural shapeArticle0005389624000122-s2.0-85090589936640644626Materials science, characterization & testingCutting Process; Chatter; Turning