A Design of a Simple Evolutionary Multi-objective Optimization Method Based on the Combined Use of Scalarization and Particle Swarm Optimization

2012 ◽  
Vol 132 (1) ◽  
pp. 42-52
Author(s):  
Kazuaki Masuda ◽  
Kazuaki Harada ◽  
Kenzo Kurihara
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Combined Use

Application of Particle Swarm Optimization in Cylinder Helical HGearH Multi-Objective Design

2011 ◽  
Vol 474-476 ◽  
pp. 2229-2233
Author(s):  
Yuan Bin Mo ◽  
Ji Zhong Liu ◽  
Bao Lei Wang ◽  
Wei Min Wan
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Design ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Optimization Method ◽  
Multi Objective Optimization ◽  
Swarm Optimization ◽  
Multi Objective

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.

Particle Swarm Optimization for Cylinder Helical Gear Multi-Objective Design Problems

2011 ◽  
Vol 109 ◽  
pp. 216-221
Author(s):  
Yuan Bin Mo
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Weighted Average ◽  
Pso Algorithm ◽  
Optimization Method ◽  
Helical Gear ◽  
Multi Objective Optimization ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Gear Design

The models for many problems in cylinder helical gear design are all multi-objective optimization. But there isn’t an effective algorithm for solving multi-objective optimization, and now the only method for it is changing multi-objective into one objective by weighted average. 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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