Parameter free Jaya algorithm for truss sizing-layout optimization under natural frequency constraints

• Published in: Computers & structures Vol. 245; p. 106461
• Main Authors: Degertekin, S.O., Yalcin Bayar, G., Lamberti, L.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2021
• Subjects: Dome structures; Natural frequency constraints; Parameter free Jaya algorithm; Sizing and layout structural optimization; Truss structures; Natural frequency constraints; Parameter free Jaya algorithm; Dome structures; Sizing and layout structural optimization; Truss structures
• ISSN: 0045-7949; 1879-2243
• DOI: 10.1016/j.compstruc.2020.106461

•A parameter free formulation of the Jaya algorithm (PFJA) is developed.•PFJA and adaptively changes population size in search process.•PFJA always tries to generate high quality trial designs.•PFJA is tested in 8 truss weight minimization problems with up to 59 variables.•PFJA is very efficient in terms of weight, robustness and computational cost. In this study, the parameter free Jaya algorithm (PFJA) is developed for sizing and layout optimization of truss structures subject to natural frequency constraints. The distinctive feature of PFJA is that it uses neither algorithm-specific parameters nor common parameters in the search process. Besides using an elitist strategy where new structural analyses are performed only if strictly necessary, PFJA adaptively changes population size in the optimization process. The validity of proposed PFJA is demonstrated by solving eight classical truss weight minimization problems including up to 59 sizing and layout design variables. The results obtained by the PFJA are compared with those of standard JA, modified Jaya algorithm (MJA) and other state-of-art metaheuristic algorithms in terms of optimized weight, convergence speed and several statistical parameters. Optimization results prove the superiority of PFJA over standard JA, MJA and other metaheuristic optimizers available in the literature.