Proceedings of The 6th International Conference on Knowledge and Innovation in Engineering, Science and Technology
Effect Of Switch Probability In Flower Pollination Algorithm On Optimization Of Tuned Mass Dampers
Sinan Melih Nigdeli, Gebrail Bekdaş and Yusuf Öztürk
Metaheuristic algorithms are the numerical algorithm processes which inspired from natural happenings involving life, species, processes and evolution. These algorithms are perfectly effective on engineering optimization including structural engineering. The advantage of the algorithms is the capability to solve optimization problems which are non-linear due to design constraints. Also, some problems cannot be mathematically derived. Because of damping, optimum tuning of tuned mass dampers (TMDs) are done via numerical algorithms including metaheuristic ones. In the present study, the optimum design of TMDs was done via flower pollination algorithm (FPA). FPA inspired from pollination process of flowering plants and several types of pollinations are used in the generation of two optimization phases; namely global and local optimization. To choose one of these phases in an iteration, a switch probability is used. The novelty of the study is the investigation of different values of switch probability on optimum TMD parameters and objective function of the optimization which is minimization of structural responses under seismic excitations. Thus, the best switch probability values in the optimization of TMDs are presented.
Keywords: Structural control; tuned mass damper; optimization; metaheuristic algorithms; flower pollination algorithm.