Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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The effectiveness of Metallic dampers for seismic response reduction of structures is quite well known in the earthquake engineering community. However, little attention has been paid to evaluating the influence of the number and placement of this type of dampers on the dynamic response. Using genetic algorithms as an optimization technique will allow for the simultaneous number and design of an effective structural control system. This study applies a genetic algorithm (GA) to obtain an optimal numbers of the damper in each story of the building. In this paper, the number of blades is cost as an optimization problem in the sense minimum base shear and inter-story drift with a minimum number of dampers. Optimal number of damper in a 10-storey building model is investigated. The proper configuration in this study will satisfy the evaluation condition such as a vibration control effect, an economical effect and a damper performance for arranging the damper in each story.