Fuzzy Multi-objective Optimisation Approach for Rod Shape Design in Long Product Rolling

Author(s):  
Victor Oduguwa ◽  
Rajkumar Roy ◽  
Didier Farrugia
Keyword(s):  
2017 ◽  
Vol 66 (3) ◽  
pp. 607-623 ◽  
Author(s):  
Paolo Di Barba ◽  
Maria Evelina Mognaschi ◽  
Paolo Venini ◽  
Slavomir Wiak

AbstractThe aim of the paper is to assess the applicability of a multi-objective biogeography-based optimisation algorithm in MEMS synthesis. In order to test the performances of the proposed method in this research field, the optimal shape design of an electrostatic micromotor, and two different electro-thermo-elastic microactuators are considered as the case studies.


2004 ◽  
Vol 124 (2) ◽  
pp. 327-333 ◽  
Author(s):  
Daigo Yonetsu ◽  
Takehisa Hara ◽  
Shigeki Shimada ◽  
Mikio Kaji

Author(s):  
Yongbin Chen ◽  
Zhili Tang

The natural laminar flow airfoil shape design at transonic regime is solved using multi-objective evolutionary algorithms in this paper. A shock wave control bump is used to reduce wave drag of natural laminar flow airfoil in transonic flow, and the eN transition prediction method based on the linear stability theory is used to predict the transition location. The multi-island parallel multi-objective evolutionary algorithms is implemented to optimize the airfoil shape equipped with shock wave control bump for obtaining a larger laminar flow region and a weaker wave drag simultaneously. Optimization experiment shows that it is easy to capture the Pareto front of wave drag minimization and laminar flow region maximization. Results demonstrate that both wave drag and friction drag performance of several chosen Pareto members are significantly improved via the optimal airfoil shape and shock wave control bump device compared to that of the baseline shape.


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