A FORTRAN 90 genetic algorithm module for composite laminate structure design

1998 ◽  
Vol 14 (3) ◽  
pp. 260-273 ◽  
Author(s):  
M. T. McMahon ◽  
L. T. Watson ◽  
G. A. Soremekun ◽  
Z. G�rdal ◽  
R. T. Haftka
2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Yingfeng Zhao ◽  
Jianhua Liu ◽  
Jiangtao Ma ◽  
Linlin Wu

AbstractCurrent studies on cable harness layouts have mainly focused on cable harness route planning. However, the topological structure of a cable harness is also extremely complex, and the branch structure of the cable harness can affect the route of the cable harness layout. The topological structure design of the cable harness is a key to such a layout. In this paper, a novel multi-branch cable harness layout design method is presented, which unites the probabilistic roadmap method (PRM) and the genetic algorithm. First, the engineering constraints of the cable harness layout are presented. An obstacle-based PRM used to construct non-interference and near to the surface roadmap is then described. In addition, a new genetic algorithm is proposed, and the algorithm structure of which is redesigned. In addition, the operation probability formula related to fitness is proposed to promote the efficiency of the branch structure design of the cable harness. A prototype system of a cable harness layout design was developed based on the method described in this study, and the method is applied to two scenarios to verify that a quality cable harness layout can be efficiently obtained using the proposed method. In summary, the cable harness layout design method described in this study can be used to quickly design a reasonable topological structure of a cable harness and to search for the corresponding routes of such a harness.


Author(s):  
Wenhui Li ◽  
Kang Liu ◽  
Qinghua Guo ◽  
Zhiming Zhang ◽  
Qiaoling Ji ◽  
...  

This paper proposes an optimization paradigm for structure design of curved-tube nozzle based on genetic algorithm. First, the mathematical model is established to reveal the functional relationship between outlet power and the nozzle structure parameters. Second, genetic algorithms transform the optimization process of curved-tube nozzle into natural evolution and selection. It is found that curved-tube nozzle with bending angle of 10.8°, nozzle diameter of 0.5 mm, and curvature radius of 8 mm yields maximum outlet power. Finally, we compare the optimal result with simulations and experiments of the rotating spinning. It is found that optimized curved-tube nozzle can improve flow field distribution and reduce the jet instability, which is critical to obtain high-quality nanofibers.


2016 ◽  
Vol 842 ◽  
pp. 266-272
Author(s):  
I Gusti Ngurah Sudira ◽  
Bambang K. Hadi ◽  
Mochammad Agoes Moelyadi ◽  
Djarot Widagdo

Application of optimization method for structure design and analysis is a technology trend to provide optimum products. This paper describe optimization process using genetic algorithm that was applied on non traditional structure, geodesic beam element. Finite element method program was developed as a main computer code for supporting optimization process. Pre-and post processor program was created to support GA. Based on minimum structure weight as the target of design optimization, the number of beam, beam element angle, and its size are to be the output of optimization process. The geodesic structure weight of plane model have been compared with traditional structure, and the results show that geodesic structure provide better performance of responding load direction than traditional structure. The influence of swept angle to the weight structure show that the higher the swept angle of geodesic beam structure, the higher values of weight structure are resulted.


1999 ◽  
pp. 149-164 ◽  
Author(s):  
Katsuji TEI ◽  
Hideaki NAKAMURA ◽  
Ayaho MIYAMOTO ◽  
Mitsuru FUJIWARA

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401878483 ◽  
Author(s):  
Rong Yuan ◽  
Haiqing Li ◽  
Qingyuan Wang

In this study, an enhanced genetic algorithm is proposed to solve multi-objective design and optimization problems in practical engineering. In the given approach, designers choose available design results from the given samples first. These samples are re-ordered according to their mutual relationships. After that, designers choose an exact ratio of conformity as available field. Furthermore, more weight information can be obtained through finding the minimum value of the norm of unconformity and satisfactory samples. These samples can be used to reflect the preference chosen for Pareto design solutions. A structure design problem of speed increaser used in wind turbine generator systems is solved to show the application of the given design strategy.


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