J1202-3-2 Application of a Particle Swarm Optimization to Plant Layout Design

2010 ◽  
Vol 2010.7 (0) ◽  
pp. 311-312
Author(s):  
Masakazu SHIRAKAWA
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Layout Design ◽  
Plant Layout ◽  
Swarm Optimization

A human–computer cooperative particle swarm optimization based immune algorithm for layout design

2014 ◽  
Vol 132 ◽  
pp. 68-78 ◽  
Author(s):  
Fengqiang Zhao ◽  
Guangqiang Li ◽  
Chao Yang ◽  
Ajith Abraham ◽  
Hongbo Liu
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Layout Design ◽  
Immune Algorithm ◽  
Swarm Optimization

scholarly journals Adapted particle swarm optimization algorithm–based layout design optimization of passenger car cockpit for enhancing ergonomic reliability

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983780
Author(s):  
Xin Liu ◽  
Zheng Liu ◽  
Suihuai Yu ◽  
Tiancheng Gong
Keyword(s):  
Particle Swarm Optimization ◽  
Design Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Layout Design ◽  
Design System ◽  
Swarm Optimization ◽  
Passenger Car ◽  
Multiple Attribute

The mechanical reliability problem of passenger car cockpit facilities layout is increasingly complex and has potential and uncertain risks for human safety while the number of private cars is increasing. A new system of layout design optimization is proposed to solve this problem. First, the optimization sequences of facilities are determined using a hybrid method of multiple-attribute decision-making and entropy. Second, the degree of feeling crowded in the cockpit layout can be adjusted based on customers’ preference. Third, an adapted particle swarm optimization algorithm is proposed to solve the problem of three-dimensional layout optimization in car cockpit human–machine interface according to the ergonomic principles, and the adapted algorithm called smoothing iteration particle swarm optimization is contrasted with those of other common algorithms to demonstrate its advantages. Finally, the optimized layout is analyzed by virtual simulations and compared with the original layout to show the feasibility and effectiveness of the proposed design system. Analysis results indicate that the optimized layout by the new particle swarm optimization can make the operation easier and safer than the original one to enhance ergonomic reliability.

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