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• W4382808033 abstract "To fulfill the increasing demand for housing in urban cities, various systems of tall buildings have been introduced tackling the design challenges. Topology design, which can get along with the sizing optimization of the structural elements, has a remarkable impact on the aesthetics, weight, and performance of the structure. Outrigger-braced systems with belt trusses and diagrids are examples of tall building systems which can be assessed and optimized based on their topology for better performance of the whole structural system. In the first step of this chapter, the 40-story outrigger-braced structure is optimized using the genetic algorithm (GA) in terms of the structural weight and the location of the outrigger and truss belt system. In the next step, the 60-story diagrid building, which has a more complex topology than the first structure, is optimized in terms of weight and the diagrid angle using the bi-linear membership function applied on the fuzzified GA. The GA has been proven to solve various real-world problems. Its variants and enhancements, such as using an accelerating fuzzification strategy, can provide feasible and better solutions for large-scale and complex problems such as tall buildings. The results of the accelerating fuzzification in GA represent the improvement in the capability of this algorithm in solving large-scale engineering problems." @default.
• W4382808033 created "2023-07-02" @default.
• W4382808033 creator A5015804077 @default.
• W4382808033 date "2023-01-01" @default.
• W4382808033 modified "2023-10-16" @default.
• W4382808033 title "Genetic Algorithm and Accelerating Fuzzification for Optimum Sizing and Topology Design of Real-Size Tall Building Systems" @default.
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• W4382808033 doi "https://doi.org/10.1007/978-981-99-3428-7_9" @default.
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