scholarly journals Truss structure optimization for two design variable elements using Genetic Algorithm with stress and failure probability constraints

2019 ◽  
Vol 615 ◽  
pp. 012091
Author(s):  
Mahadi Kurniawan ◽  
Augusta Adha
Keyword(s):  
Genetic Algorithm ◽  
Failure Probability ◽  
Design Variable ◽  
Structure Optimization ◽  
Truss Structure ◽  
Probability Constraints

scholarly journals Autonomous Cascade Structure Feedback Controller Design With Genetic Algorithm-based Structure Optimization

2020 ◽  
Vol 53 (2) ◽  
pp. 8419-8425
Author(s):  
Yoshihiro Maeda ◽  
Shu Kunitate ◽  
Eitaro Kuroda ◽  
Makoto Iwasaki
Keyword(s):  
Genetic Algorithm ◽  
Controller Design ◽  
Structure Optimization ◽  
Feedback Controller ◽  
Cascade Structure

scholarly journals Truss Structure Optimization Based on Improved Chicken Swarm Optimization Algorithm

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Yancang Li ◽  
Shiwen Wang ◽  
Muxuan Han
Keyword(s):  
Optimization Algorithm ◽  
Optimization Design ◽  
Learning Strategy ◽  
Differential Evolution Algorithm ◽  
Structure Optimization ◽  
Weighting Factor ◽  
Truss Structure ◽  
Swarm Optimization ◽  
Learning Factor ◽  
Chicken Swarm Optimization

To improve the efficiency of the structural optimization design in truss calculation, an improved chicken swarm optimization algorithm was proposed for truss structure optimization. The chicken swarm optimization is a novel swarm intelligence algorithm. In the basic chicken swarm optimization algorithm, the concept of combining chaos strategy and reverse learning strategy was introduced in the initialization to ensure the global search ability. And the inertia weighting factor and the learning factor were introduced into the chick position update process, so as to better combine the global and local search. Finally, the overall individual position of the algorithm was optimized by the differential evolution algorithm. The improved algorithm was tested by multipeak function and applied to the truss simulation experiment. The study provided a new method for the truss structure optimization.

Design-Variable Optimization of Hydropower Tunnels and Surge Tanks Using a Genetic Algorithm

2013 ◽  
Vol 139 (2) ◽  
pp. 200-208 ◽  
Author(s):  
M. Fathi-Moghadam ◽  
S. Haghighipour ◽  
H. Mohammad Vali Samani
Keyword(s):  
Genetic Algorithm ◽  
Design Variable

A Structure Optimization for Hooklift Arm Device Based on the Genetic Algorithm

2012 ◽  
Vol 455-456 ◽  
pp. 1504-1508
Author(s):  
Huan Ming Chen ◽  
Da Wei Liu
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Parameter Optimization ◽  
Structure Optimization ◽  
Optimization Method ◽  
Optimized Design ◽  
Design Decision ◽  
Original Design ◽  
Multi Objective ◽  
Engineering Constraint

Based on the theory of FEM, the hooklift arm is modeled with the FEM software, and the structure of the device is optimized with genetic algorithm in a multi-objective/multi-parameter optimization environment, which results in an optimal design decision of the hooklift arm device under the engineering constraint. Comparison between optimized design decision and original design decision shows that the optimization is correct and the proposed multi-objective/multi-parameter optimization method is effective in improving the hooklift arm device.

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