Enhanced Pareto Particle Swarm Approach for Multi-Objective Optimization of Surface Grinding Process

@article{Lin2008EnhancedPP,
  title={Enhanced Pareto Particle Swarm Approach for Multi-Objective Optimization of Surface Grinding Process},
  author={Xiankun Lin and Haolin Li},
  journal={2008 Second International Symposium on Intelligent Information Technology Application},
  year={2008},
  volume={2},
  pages={618-623}
}
In the contribution, a new hybrid optimization technique for multi-objective optimization of surface grinding is proposed. The developed approach is based on enhanced Pareto particle swarm optimization algorithm and local climbing optimization technique. Such four process parameters as wheel speed, work piece speed, depth of dressing and lead of dressing are considered as optimization condition and the following three criteria are assumed: production cost, production rate and surface roughness… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-6 of 6 references

Ants colony algorithm approach for multi-objective optimization of surface grinding operations

  • N. Baskar, R. Saravanan, P. Asokan
  • Int J Adv Manuf Technol,
  • 2004
Highly Influential
4 Excerpts

A particle swarm approach for grinding process optimization analysis

  • T. S. Lee, T. O. Ting, Y. J. Lin
  • Int J Adv Manuf Technol ,
  • 2007

Multi-objective optimisation of surface grinding operations using scatter search approach

  • Aliuru Gopala Krishna, K. Mallikarjuna
  • Int J Adv Manuf Technol ,
  • 2006
1 Excerpt

Genetic Algorithm for Multivariable Surface Grinding Process Optimization Using a Multi-objective Function Model

  • M. R. Saravanan
  • Sachithanandam
  • 2001
2 Excerpts

The behavior of particles

  • J. Kennedy
  • Proceedings of the 7th ICEC 1998,
  • 1998

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