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Particle Swarm Optimization for Simultaneous Optimization of Design and Machining Tolerances

  • Chi Zhou
  • Liang Gao
  • Hai-Bing Gao
  • Kun Zan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4247)

Abstract

Tolerance assignment is an important issue in product design and manufacturing. However, this problem is commonly formulated as nonlinear, multi-variable and high constrained model. Most of the heuristics for this problem are based on penalty function strategy which unfortunately suffers from inherent drawbacks. To overcome these drawbacks, this paper presented a new powerful tool-Particle Swarm Optimization algorithm (PSO) and meanwhile proposed a sophisticated constraints handling scheme suitable for the optimization mechanism of PSO. An example involving simultaneously assigning both design and machining tolerances based on optimum total machining cost is employed to demonstrate the efficiency and effectiveness of the proposed approach. The experimental result based on the comparison between PSO and GA show that the new PSO model is a powerful tool.

Keywords

Particle Swarm Optimization Advance Manufacture Technology Simultaneous Optimization Process Tolerance Modify Particle Swarm Optimizer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chi Zhou
    • 1
  • Liang Gao
    • 1
  • Hai-Bing Gao
    • 1
  • Kun Zan
    • 1
  1. 1.Department of Industrial & Manufacturing System EngineeringHuazhong Univ. of Sci. & Tech.WuhanChina

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