Premium
Ant algorithm for single and multiobjective reliability optimization problems
Author(s) -
Shelokar Prakash S.,
Jayaraman V. K.,
Kulkarni B. D.
Publication year - 2002
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.499
Subject(s) - ant colony optimization algorithms , benchmark (surveying) , pareto principle , mathematical optimization , reliability (semiconductor) , computer science , set (abstract data type) , multi objective optimization , cluster analysis , algorithm , mathematics , artificial intelligence , power (physics) , physics , geodesy , quantum mechanics , programming language , geography
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.