A GENERALIZED EXTREMAL OPTIMIZATION-INSPIRED ALGORITHM FOR PREDICTIVE MAINTENANCE SCHEDULING PROBLEMS

Pasquale Arpaia, Domenico Maisto, Carlo Manna

Abstract

A bit-encoded heuristic evolutionary optimization algorithm inspired by the Generalized Extremal Optimization method is presented. The proposed evolutionary approach aims at optimizing a predictive maintenance scheduling problem characterized by an analytically intractable objective function. A preliminary comparison with a standard genetic algorithm on a set of high-dimension cases of the considered maintenance problem shows better performance for the proposed approach.

References

  1. Bak, P. and Sneppen, K., 1993, Punctuated Equilibrium and Criticality in a Simple Model of Evolution. Physical Review Letters, Vol. 71, Number 24, pp. 4083-4086.
  2. Bak, P., Tang, C. and Wiesenfeld, K.,1987, Self-organized criticality: an explanation of 1 / f noise. Physical Review Letters, 59: 381-384
  3. Boettcher, S. and Percus, A. G, 2001, Optimization with Extremal Dynamics. Physical Review Letters, Vol. 86, pp. 5211-5214.
  4. Dekker R. Wildeman R. E., Van der Duyn Shouten F. A., 1997, A Review on multi-component maintenace models with economic dependence, Mathematical Methods on Operetion Research. 45: 411-435
  5. De Sousa, F., Ramos, M. R., 2002. Function Optimization using Extremal Dynamics. In 4th Int. Conf. On Inverse Problem in Engineering, Rio de Janeiro, Brazil
  6. Djurdjanovic, D., Lee, J., & Ni, J., 2003, Watchdog agent-an infotronics based prognostics approach for product performance assessment and prediction. International Journal of Advanced Engineering Informatics, Special Issue on Intelligent Maintenance Systems, 17(3-4), 109-125.
  7. Dorigo, M., Maniezzo, V., Colorni A., 1996,, The Ant System: Optimizing by a colony of cooperating agents, IEEE Trans. Syst. Man Cybern-Part B, vol. 26, n°1, pp 1-13
  8. Engel, S. J., Gilmartin, B. J., Bongort, K., Hess, A., 2000, Prognostics, the real issues involved with predicting life remaining. Proc. Of the IEEE Aerospace Conference Proceedings, 6, 457-469.
  9. Goldberg, D. E., 1989, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company.
  10. Kennedy, J., Eberhart, R. C. 1995 Particle Swarm Optimization, In Proc. of the 1995 IEEE International Conf. on Neur. Networks, vol. 4, pp. 1942-1948, IEEE Press, Piscataway, NJ
  11. Kirkpatrick, S., Gellat, C. D. and Vecchi, M. P., 1983, Optimization by Simulated Annealing, Science, Vol. 220, Number 4598, 1983, pp. 671-680.
  12. Stapelberg, R. F., 2009, Handbook Reliability, Availability, Maintainability, and Safety in Engineering Design, Springer - Verlag 2009
  13. Yu, G., Qiu, H., Djurdjanovic, D., Lee, J., 2005, Feature signature prediction of a boring process using neural network modeling with confidence bounds, International Journal of Advanced Manufacturing Technology. Turcotte, D.L., 1999, Self-organized criticality. Reports on progress in physics, vol 62, n° 10
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Paper Citation


in Harvard Style

Arpaia P., Maisto D. and Manna C. (2010). A GENERALIZED EXTREMAL OPTIMIZATION-INSPIRED ALGORITHM FOR PREDICTIVE MAINTENANCE SCHEDULING PROBLEMS . In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010) ISBN 978-989-8425-31-7, pages 70-76. DOI: 10.5220/0003080200700076


in Bibtex Style

@conference{icec10,
author={Pasquale Arpaia and Domenico Maisto and Carlo Manna},
title={A GENERALIZED EXTREMAL OPTIMIZATION-INSPIRED ALGORITHM FOR PREDICTIVE MAINTENANCE SCHEDULING PROBLEMS},
booktitle={Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)},
year={2010},
pages={70-76},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003080200700076},
isbn={978-989-8425-31-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)
TI - A GENERALIZED EXTREMAL OPTIMIZATION-INSPIRED ALGORITHM FOR PREDICTIVE MAINTENANCE SCHEDULING PROBLEMS
SN - 978-989-8425-31-7
AU - Arpaia P.
AU - Maisto D.
AU - Manna C.
PY - 2010
SP - 70
EP - 76
DO - 10.5220/0003080200700076