Shelokar, Prakash S. ; Jayaraman, V. K. ; Kulkarni, B. D. (2002) Ant algorithm for single and multiobjective reliability optimization problems Quality and Reliability Engineering International, 18 (6). pp. 497-514. ISSN 0748-8017
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Official URL: http://onlinelibrary.wiley.com/doi/10.1002/qre.499...
Related URL: http://dx.doi.org/10.1002/qre.499
Abstract
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.
Item Type: | Article |
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Source: | Copyright of this article belongs to John Wiley and Sons, Inc. |
Keywords: | Ant Colony Optimization; Multiobjective Optimization; System Reliability |
ID Code: | 17187 |
Deposited On: | 16 Nov 2010 08:15 |
Last Modified: | 06 Jun 2011 09:08 |
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