Ant algorithm for single and multiobjective reliability optimization problems
Article first published online: 2 DEC 2002
Copyright © 2002 John Wiley & Sons, Ltd.
Quality and Reliability Engineering International
Volume 18, Issue 6, pages 497–514, November/December 2002
How to Cite
Shelokar, P. S., Jayaraman, V. K. and Kulkarni, B. D. (2002), Ant algorithm for single and multiobjective reliability optimization problems. Qual. Reliab. Engng. Int., 18: 497–514. doi: 10.1002/qre.499
- Issue published online: 2 DEC 2002
- Article first published online: 2 DEC 2002
- Manuscript Revised: 29 APR 2002
- Manuscript Received: 15 OCT 2001
- ant colony optimization;
- multiobjective optimization;
- system reliability
The paper illustrates the application of the ant colony optimization algorithm to solve both continuous function and combinatorial optimization problems in reliability engineering. The ant algorithm is combined with the strength Pareto fitness assignment procedure to handle multiobjective problems. Further, a clustering procedure has been applied to prune the Pareto set and to maintain diversity. Benchmark case examples show the superiority of the ant algorithm to such problems. Copyright © 2002 John Wiley & Sons, Ltd.