Development of hybrid performance-based optimization algorithm for structures equipped with vibration damper devices

Abstract Nowadays, various types of vibration damping systems are being implemented in different buildings to diminish seismic effects on structures. However, engineers faced with the challenging task developing an optimum design for structures utilizing a proper type device based new techniques such as performance-based method. Therefore, this research was aimed at multi-objective optimization algorithm by hybridizing particle swarm (PSO) and gravitational search (GSA) obtain equipped damper devices Then, developed hybrid (PSOGSA) would be capable optimizing system simultaneously optimized details structural sections, including steel rebars, satisfying all criteria. For purpose, special process according method considering wide range systems. The proposed PSOGSA framework then 12-storey reinforced concrete structure dampers minimize weight while prescribed acceptance results indicated that able successfully optimize members well properties damper, which significantly improved response terms formation plastic hinges movements.