Optimal design of hysteretic dampers connecting adjacent structures using multi-objective genetic algorithm and stochastic linearization method

2008 ◽  
Vol 30 (5) ◽  
pp. 1240-1249 ◽  
Author(s):  
Seung-Yong Ok ◽  
Junho Song ◽  
Kwan-Soon Park
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Linearization Method ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Adjacent Structures ◽  
Stochastic Linearization ◽  
Hysteretic Dampers

Optimal design ofk-space trajectories using a multi-objective genetic algorithm

2004 ◽  
Vol 52 (4) ◽  
pp. 831-841 ◽  
Author(s):  
Brian M. Dale ◽  
Jonathan S. Lewin ◽  
Jeffrey L. Duerk
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Space Trajectories ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Applications of Multi-Objective Genetic Algorithm in Optimizing Steering Performances for Submersible

2013 ◽  
Vol 756-759 ◽  
pp. 3136-3140
Author(s):  
Zhuo Yi Yang ◽  
Yong Jie Pang ◽  
Shao Lian Ma
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Approximation Model ◽  
Horizontal Movement ◽  
Nsga Ii ◽  
Hydrodynamic Coefficient ◽  
Pareto Solution ◽  
Multi Objective ◽  
Minimum Drag ◽  
Multi Objective Genetic Algorithm

Multi-objective arithmetic NSGA-II based on Pareto solution is investigated to deal with integrated optimal design of speedability and manoeuvre performances for submersible. Approximation model of resistance for serial revolving shape is constructed by hydrodynamic numerical calculations. The appraisement criterions of stability and mobility are calculated from linear equation of horizontal movement by estimating hydrodynamic coefficient of submersible. After optimization, the scattered Pareto solution of drag and turning diameter are gained, and from the solutions designer can select the reasonable one based on the actual requirement. The Pareto solution can ensure the minimum drag in this manoeuvre performance or the best manoeuvre performance in this drag value.

scholarly journals Finding the optimal design of a passive microfluidic mixer

Lab on a Chip ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 3618-3627 ◽  
Author(s):  
Junchao Wang ◽  
Naiyin Zhang ◽  
Jin Chen ◽  
Victor G. J. Rodgers ◽  
Philip Brisk ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Design Criteria ◽  
Microfluidic Mixer ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Find an optimal design and establish the design criteria of a passive microfluidic mixer using a multi-objective genetic algorithm.

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