The Shape Optimization Design of Space Trusses Using Genetic Algorithms
Choon-Wook Park, Suwon Kim, Moon-Myung Kang
Abstract
Choon-Wook Park, Suwon Kim, Moon-Myung Kang
Abstract
The objective of this study is the development of a size and shape discrete optimum design algorithms, which is based on the genetic algorithms and the fuzzy theory. This algorithms can perform both size and shape optimum designs of plane and space trusses. The developed fuzzy shape-GAs (FS-GAs) was implemented in a computer program. For the optimum design, the objective function is the weight of structures and the constraints are limits on loads and serviceability. This study solves the problem by introducing the FS-GAs operators into the genetic.
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The objective of this study is the development of a size and shape discrete optimum design algorithms, which is based on the genetic algorithms and the fuzzy theory. This algorithms can perform both size and shape optimum designs of plane and space trusses. The developed fuzzy shape-GAs (FS-GAs) was implemented in a computer program. For the optimum design, the objective function is the weight of structures and the constraints are limits on loads and serviceability. This study solves the problem by introducing the FS-GAs operators into the genetic.
Key concepts: Truss, Serviceability (structure), Genetic algorithm, Algorithm, Mathematical optimization, Optimal design, Fuzzy logic, Mathematics