Multidimensional Fitness Function DPSO Algorithm for Analog Test Point Selection

@article{Jiang2010MultidimensionalFF,
  title={Multidimensional Fitness Function DPSO Algorithm for Analog Test Point Selection},
  author={Ronghua Jiang and Houjun Wang and Shulin Tian and Bing Long},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2010},
  volume={59},
  pages={1634-1641}
}
A novel multidimensional fitness function discrete particle swarm optimization algorithm is proposed to optimize analog test point selection. The proposed method uses fault isolation rate and the number of test points to formulate a multidimensional fitness function to search the global minimal test point set, and an elitist set is used to get more than one possible best solution in the described approach. The efficiency of the proposed method is proven by the same experiments used to verify… CONTINUE READING
Highly Cited
This paper has 27 citations. REVIEW CITATIONS
13 Citations
19 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 13 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 19 references

Analogue circuits fault dictionary—New approaches and implementation

  • P. M. Lin, Y. S. Elcherif
  • Int. J. Circuit Theory Appl., vol. 13, no. 2, pp…
  • 1985
Highly Influential
5 Excerpts

A discrete binary version of the particle swarm algorithm

  • R. C. Eberhart, J. Kennedy
  • IEEE Conf. Syst., Man, Cybern., Orlando, FL, 1997…
  • 1997
Highly Influential
5 Excerpts

Particle swarm optimization

  • J. Kennedy, R. C. Eberhart
  • Proc. 4th IEEE Conf. Neural Netw., Piscataway, NJ…
  • 1995
Highly Influential
6 Excerpts

Fault diagnosis for linear systems via multifrequency measurements

  • N. Sen, R. Saeks
  • IEEE Trans. Circuits Syst., vol. CAS-26, no. 7…
  • 1979
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…