Article ID: | iaor20031354 |
Country: | United Kingdom |
Volume: | 18 |
Issue: | 6 |
Start Page Number: | 497 |
End Page Number: | 514 |
Publication Date: | Aug 2002 |
Journal: | Quality and Reliability Engineering International |
Authors: | Kulkarni B.D., Shelokar Prakash S., Jayaraman V.K. |
Keywords: | ant system |
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 for such problems.