scholarly journals A Method for Shaoe and Topology Optimization of Mechanical Structures by Using Genetic Algorithm. 3rd Report. A Deterministic Approach with A Single Individual by Using Removal and Addition parameters.

1998 ◽  
Vol 64 (626) ◽  
pp. 2483-2488
Author(s):  
Yusaku SUZUKI ◽  
Yasushi TSURUTA ◽  
Keishi KAWAMO
Keyword(s):  
Genetic Algorithm ◽  
Topology Optimization ◽  
Single Individual ◽  
Deterministic Approach ◽  
And Topology

Optimal Design of CNC Crushing Machine Steady Based on Genetic Algorithm

2013 ◽  
Vol 397-400 ◽  
pp. 1129-1132
Author(s):  
De Xin Zhang ◽  
Ming Jian Han ◽  
Yang Jie Ou ◽  
Guo Qing Wang ◽  
Guo Qing Hao ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Topology Optimization ◽  
Optimization Design ◽  
Structure Optimization ◽  
Multi Objective Optimization ◽  
Shape And Topology Optimization ◽  
And Topology ◽  
Design Variables ◽  
Starting Point

The Genetic Algorithms In engineering structure optimization design includes Truss Structure optimization, Shape and topology optimization, Composite materials optimization, layout optimization, Multi-Objective Optimization. This paper combined with engineering background , Selecting the Pressing gear of CNC crushing Machine Steady as starting point for Optimization modeling .Analyzing the simple conditions theoretical physical model of CNC Crushing Machine Steady, Reasonably selected design variables ,using Conventional Methods and genetic algorithms to optimize the Steady ,obtainning every iterative step relevant data under the two methods, and analyzing the results ,analysis the accuracy of the optimize results through the stress and displacement map .

scholarly journals OPTIMIZING A QUADRUPED ROBOT: A COMPARISON OF TWO METHODS

2021 ◽  
Vol 2021 (2) ◽  
pp. 4348-4355
Author(s):  
ROBERT PASTOR ◽  
◽  
ZDENKO BOBOVSKY ◽  
PETR OSCADAL ◽  
JAKUB MESICEK ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Topology Optimization ◽  
Real World ◽  
Laboratory Testing ◽  
Quadruped Robot ◽  
The Real ◽  
And Topology

Robots that have been optimized in simulation often underperform in the real world in comparison to their simulated counterparts. This difference in performance is often called a reality-gap. In this paper, we use two methods, genetic algorithm and topology optimization, to optimize a quadruped robot. We look at the original and optimized robots’ performance in simulation and reality and compare the results. Both methods show improvement in the robot’s efficiency, however the topology optimization behaves in a more predictable manner and shows similar results in simulation and in real laboratory testing. Modifying robot morphology with a genetic algorithm, although less predictable, has a potential for more improvement in efficiency.

Topography and topology optimization of diesel engine components for light-weight design in the automotive industry

2019 ◽  
Vol 61 (1) ◽  
pp. 27-34 ◽  
Author(s):  
Ali Rıza Yıldız ◽  
Ulaş Aytaç Kılıçarpa ◽  
Emre Demirci ◽  
Mesut Doğan
Keyword(s):  
Topology Optimization ◽  
Diesel Engine ◽  
Automotive Industry ◽  
Light Weight ◽  
And Topology ◽  
Weight Design ◽  
Engine Components

Verification, Validation and Topology Optimization for Innovative Design of Concrete Structures

2018 ◽  
Vol 56 (9) ◽  
pp. 801-808
Author(s):  
K. Wada ◽  
H. Sakurai ◽  
K. Takimoto ◽  
S. Yamamoto
Keyword(s):  
Topology Optimization ◽  
Concrete Structures ◽  
Innovative Design ◽  
And Topology
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