A constrained global optimization method based on multi-objective particle swarm optimization

2011 ◽  
Vol 95 (1) ◽  
pp. 43-54 ◽  
Author(s):  
Kazuaki Masuda ◽  
Kenzo Kurihara
2011 ◽  
Vol 474-476 ◽  
pp. 2229-2233
Author(s):  
Yuan Bin Mo ◽  
Ji Zhong Liu ◽  
Bao Lei Wang ◽  
Wei Min Wan

Cylinder helical gGear is widely used in industry. Multi-objective optimization design of the component is often met in its different application sSituation. In this paper a novel multi-objective optimization method based on Particle Swarm Optimization (PSO) algorithm is designed for applying to solve this kind of problem. A paradigm depicted in the paper shows the algorithm is practical.


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