Initial Design of Mechanical Structures : A Shape Optimization Method of Cross-section Using Genetic Algorithms

2002 ◽  
Vol 2002.5 (0) ◽  
pp. 53-58
Author(s):  
Kazuhiro Izui ◽  
Shinji Nishiwaki ◽  
Masataka Yoshimura
Keyword(s):  
Genetic Algorithms ◽  
Shape Optimization ◽  
Cross Section ◽  
Optimization Method ◽  
Initial Design

A Hybrid Genetic-Direct Search Algorithm for the Shape Optimization of Solid C-Frame Cross-Sections

2000 ◽  
Author(s):  
Ashraf O. Nassef ◽  
Hesham A. Hegazi ◽  
Sayed M. Metwalli
Keyword(s):  
Genetic Algorithms ◽  
Shape Optimization ◽  
Cross Section ◽  
Random Search ◽  
Direct Search ◽  
Search Method ◽  
Optimization Techniques ◽  
Hybrid Optimization ◽  
The Cross ◽  
Real Coded Genetic Algorithms

Abstract The hybridization of different optimization methods have been used to find the optimum solution of design problems. While random search techniques, such as genetic algorithms and simulated annealing, have a high probability of achieving global optimality, they usually arrive at a near optimal solution due to their random nature. On the other hand direct search methods are efficient optimization techniques but linger in local minima if the objective function is multi-modal. This paper presents the optimization of C-frame cross-section using a hybrid optimization algorithm. Real coded genetic algorithms are used as a random search method, while Nelder-Mead is used as a direct search method, where the result of the genetic algorithm search is used as the starting point of direct search. Traditionally, the cross-section of C-frame belonged to a set of primitive shapes, which included I, T, trapezoidal, circular and rectangular sections. The cross-sectional shape is represented by a non-uniform rational B-Splines (NURBS) in order to give it a kind of shape flexibility. The results showed that the use of Nelder-Mead with Real coded Genetic Algorithms has been very significant in improving the optimum shape of a solid C-frame cross-section subjected to a combined tension and bending stresses. The hybrid optimization method could be extended to more complex shape optimization problems.

Initial Design of Cross-section Using Genetic Algorithms

2002 ◽  
Vol 2002.12 (0) ◽  
pp. 384-387
Author(s):  
Kazuhiro Izui ◽  
Shinji Nishiwaki ◽  
Masataka Yoshimura
Keyword(s):  
Genetic Algorithms ◽  
Cross Section ◽  
Initial Design

Shape Optimization of Cooling Channels Using Genetic Algorithms

1997 ◽  
Vol 119 (2) ◽  
pp. 380-388 ◽  
Author(s):  
Jens von Wolfersdorf ◽  
E. Achermann ◽  
B. Weigand
Keyword(s):  
Finite Element Method ◽  
Genetic Algorithms ◽  
Temperature Field ◽  
Shape Optimization ◽  
Heat Removal ◽  
Optimization Method ◽  
Two Dimensional ◽  
The Finite Element Method ◽  
Temperature Field Distribution ◽  
Cooling Channels

A shape optimization method for convective cooling channels within a two-dimensional heat conduction region is presented. This method combines genetic algorithms with a point heat sink approach that is used to model the heat removal of the cooling channels during the optimization process. The method can be easily combined with the Finite Element Method (FEM) for the calculation of the optimized temperature field distribution.

New approach to constrained shape optimization using genetic algorithms

AIAA Journal ◽  
1998 ◽  
Vol 36 ◽  
pp. 51-61 ◽  
Author(s):  
M. C. Sharatchandra ◽  
Mihir Sen ◽  
Mohamed Gad-el-Hak
Keyword(s):  
Genetic Algorithms ◽  
Shape Optimization ◽  
New Approach

scholarly journals Shape optimization of magnetic devices using genetic algorithms with dynamically adjustable parameters

1999 ◽  
Vol 35 (3) ◽  
pp. 1686-1689 ◽  
Author(s):  
Y. Yokose ◽  
V. Cingoski ◽  
K. Kaneda ◽  
H. Yamashita
Keyword(s):  
Genetic Algorithms ◽  
Shape Optimization ◽  
Magnetic Devices

Oxidation of Suspended Stacked Silicon Nanowire for Sub-10nm Cross-Section Shape Optimization

2019 ◽  
Vol 13 (1) ◽  
pp. 195-199 ◽  
Author(s):  
Alexandre Hubert ◽  
Jean-Philippe Colonna ◽  
Stéphane Bécu ◽  
Cécilia Dupré ◽  
Virginie Maffini-Alvaro ◽  
...  
Keyword(s):  
Shape Optimization ◽  
Cross Section ◽  
Silicon Nanowire ◽  
Cross Section Shape ◽  
Section Shape
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