Ant system for reliability optimization of a series system with multiple-choice and budget constraints

Reliability Engineering and System Safety

Volumn 87, Issue 1, 2005, Pages 1-12

  Nahas, Nabil ^a   Nourelfath, Mustapha ^a  

^a UNIVERSITÉ DU QUÉBEC EN ABITIBI TÉMISCAMINGUE   (Canada)

Author keywords

Ant system; Multiple choice; Reliability optimization; Series system

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; HEURISTIC METHODS; NEURAL NETWORKS; OPTIMIZATION; PROBLEM SOLVING; RELIABILITY; TELECOMMUNICATION SYSTEMS;

ANT SYSTEMS; INDUSTRIAL SYSTEMS; KNAPSACK PROBLEMS; SERIES SYSTEMS;

SECURITY SYSTEMS;

EID: 4544352659     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2004.02.007     Document Type: Article

References (22)

1. Ait-Kadi D., Nourelfath M. Availability optimization of fault-tolerant systems. International Conference Industrial Engineering Production Management (IEPM'2001) Québec, August. 2001.
2. Bullnheimer B., Hartl R.F., Strauss C. Applying the ant system to the vehicle routing problem. Second Metaheuristics International Conference (MIC-27), Sophia-Antipolis, France. July:1997;. pp. 21-24.
3. Cantoni M., Marseguerra M., Zio E. Genetic algorithms and Monte Carlo simulation for optimal plant design. Reliab Engng Sys Safety. 68:2000;29-38.
4. Coit D.W., Smith A.E. Reliability optimization of series-parallel systems using a genetic algorithm. IEEE Trans Reliab. 45:(2):1996;254-260.
5. Di Caro G., Dorigo M. Mobile agents for adaptive routing. Proceedings for the 31st Hawaii International Conference on System Sciences, Big Island of Hawaii, January 6-9. 1998;. p. 74-83.
6. Dorigo M., Stutzle T. The ant colony optimization metaheuristic: algorithms, applications and advances. Handbook of Metaheuristics 2001: F. Glover and G. Kochenberger. 2001.
7. Dorigo D., Maniezzo V., Colorni A. The ant system: optimization by a colony of cooperating agents. IEEE Trans Sys, Man Cybernet - Part B. 26:(1):1996;1-13.
8. Garey M.R., Johnson D.S. Computers and intractability. 1979;Freeman, San Francisco.
9. Joyce P.A., Withers T.A., Hickling P.J. Application of genetic algorithms to optimum offshore plant design. Proceedings of ESREL 98, June. 16-19:1998;665-671.
10. Liang Y.C., Smith A.E. An ant system approach to redundancy allocation. Proceedings of the 1999 Congress on Evolutionary Computation (CEC 99), 1999-1484. 2:1999.
11. Liu P.X., Meng M., Zuo M.J. Optimal design on continuous-state series-parallel system using neural network. Proceedings of ESREL European Safety and Reliability Conference Torino, Italy, September. 16-20:2001;2001.
12. Nauss R.M. The 0-1 knapsack problem with multiple choice constraints. Eur J Operat Res. 1978;121-131.
13. Nourelfath M, Nahas N. Quantized hopfield networks for reliability optimization. Reliab Engng Sys Safety 2003;81:191-196.
14. Painton L., Campbell J. Genetic algorithms in optimization of system reliability. IEEE Trans Reliab. 44:(2):1995;172-178.
15. Smith A.E., Tate T.M. Genetic optimization using a penalty function. Proceeding of the Fifth International Conference on Genetic Algorithms. 1993;. p. 499-505.
16. Sinha P., Zoltners A.A. The multiple choice knapsack problem. Operations Research. 1979;503-515.
17. Sung C.S., Lee H.K. A branch-and-bound approach for spare unit allocation in a series system. Eur J Operat Res. 1994;217-232.
18. Sung C.S., Cho Y.K. Reliability optimization of a series system with multiple-choice and budget constraints. Eur J Operat Res. 2000;159-171.
19. Tillman I.A., Hwang C.L., Kuo W. Optimization techniques for system reliability with redundancy, a review. IEEE Trans Reliab. 1977;147-155.
20. Tillman I.A., Hwang C.L., Kuo W. Optimization of system reliability. 1980;Marcel Dekker, New York.
21. Yang J.-E., Hwang M.-J., Sung T.-Y., Jin Y. Application of genetic algorithm for reliability allocation in nuclear power plants. Reliab Engng Sys Safety. 65:1999;229-238.
22. Yang S., Dingwei W. Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling. IEEE Trans Neural Networks. 11:(2):2000;474-486.