Multi-mission Multi-objective Optimization in Commercial Aircraft Conceptual Design

2019 ◽  
Author(s):  
Yu Cai ◽  
Dushhyanth Rajaram ◽  
Dimitri N. Mavris
Keyword(s):  
Conceptual Design ◽  
Multi Objective Optimization ◽  
Commercial Aircraft ◽  
Multi Objective ◽  
Aircraft Conceptual Design

Effects of disciplinary uncertainty on multi-objective optimization in aircraft conceptual design

2011 ◽  
Vol 44 (6) ◽  
pp. 831-846 ◽  
Author(s):  
Matthew J. Daskilewicz ◽  
Brian J. German ◽  
Timothy T. Takahashi ◽  
Shane Donovan ◽  
Arvin Shajanian
Keyword(s):  
Conceptual Design ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Aircraft Conceptual Design

Application of Multi-Objective Optimization Algorithm Based on Physical Programming in Ship Conceptual Design

2014 ◽  
Vol 904 ◽  
pp. 408-413
Author(s):  
Zhai Liu Hao ◽  
Zu Yuan Liu ◽  
Bai Wei Feng
Keyword(s):  
Conceptual Design ◽  
Optimization Algorithm ◽  
Optimization Design ◽  
Uniform Design ◽  
Multi Objective Optimization ◽  
Pareto Solutions ◽  
Physical Programming ◽  
Multi Objective ◽  
Objective Space ◽  
Preference Structures

Ship optimization design is a typical multi-objective problem. The multi-objective optimization algorithm based on physical programming is able to obtain evenly distributed Pareto front. But the number of Pareto solutions and the search positions of pseudo-preference structures still exit some disadvantages that are improved in this paper. Firstly uniform design for mixture experiments is used to arbitrarily set the number of Pareto solutions and evenly distribute the search positions of pseudo-preference structures. Then the objective space is searched by shrinking of search domain and rotation of pseudo-preference structure technology. The optimization quality is able to be improved. Finally, the improved multi-objective optimization algorithm is applied to ship conceptual design optimization and compared with the multi-objective evolutionary algorithm to verify the effectiveness of the improved algorithm.

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