scholarly journals Topology and Shape Optimization of Continuum Structures by Genetic Algorithm.

1999 ◽  
Vol 65 (634) ◽  
pp. 1420-1426
Author(s):  
Hisashi TANIE ◽  
Eisuke KITA
Keyword(s):  
Genetic Algorithm ◽  
Shape Optimization ◽  
Continuum Structures ◽  
Topology And Shape Optimization

scholarly journals Truss’ topology and shape optimization by genetic algorithms

2021 ◽  
Vol 47 ◽  
Author(s):  
Dmitrij Šešok ◽  
Paulius Ragauskas
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Shape Optimization ◽  
Optimization Problem ◽  
Numerical Solutions ◽  
Search Algorithm ◽  
Truss Topology ◽  
Modified Genetic Algorithm ◽  
Topology And Shape Optimization ◽  
System Characteristics

In the paper the global optimization problem of truss systems is studied.  The genetic algorithms are employed for the optimization. As the objective function the structure mass is treated; the constraints include equilibrium, local stability and other requirements.  All the truss system characteristics needed for genetic algorithm are obtained via finite element solution. Topology optimization of truss system is performed using original modified genetic algorithm, while the shape optimization – using ordinary genetic algorithm. Numerical solutions are presented. The obtained solutions are compared with global extremes obtained using full search algorithm.  All the numerical examples are solved using original software.

scholarly journals Mixed genetic algorithm for optimization of trusses

2008 ◽  
Vol 48 ◽  
Author(s):  
Dmitrij Šešok
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Finite Elements ◽  
Shape Optimization ◽  
Objective Function ◽  
Objective Function Value ◽  
Finite Elements Method ◽  
Topology And Shape Optimization ◽  
Mixed Genetic Algorithm

In this paper two strategies of optimization are compared: sequential and synchronous topology and shape optimization of trusses. Genetic algorithms are used for optimization. A task of optimization of truss withtwelve possible nodes is solved. Finite elements method is used to calculate an objective function value. Software used in calculations was created by the author.

Shape optimization of egg-shaped sewer pipes based on the nondominated sorting genetic algorithm (NSGA-II)

2022 ◽  
Vol 204 ◽  
pp. 111999
Author(s):  
Hanting Wu ◽  
Yangrui Huang ◽  
Lei Chen ◽  
Yingjie Zhu ◽  
Huaizheng Li
Keyword(s):  
Genetic Algorithm ◽  
Shape Optimization ◽  
Nsga Ii ◽  
Sewer Pipes ◽  
Nondominated Sorting
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