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Reliability optimization of complex systems using modified random‐to‐pattern search (MRPS) algorithm
Author(s) -
Murty B. S. N.,
Reddy P. J.
Publication year - 1999
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/(sici)1099-1638(199905/06)15:3<239::aid-qre242>3.0.co;2-d
Subject(s) - reliability (semiconductor) , random search , local optimum , mathematical optimization , algorithm , computer science , optimization algorithm , local search (optimization) , mathematics , power (physics) , physics , quantum mechanics
The modified random‐to‐pattern search (MRPS) algorithm, developed by the authors for global optimization, is applied to find the global optimum of system cost of a complex system subject to constraints on system reliability. The global optimum solutions obtained by MRPS are compared with those obtained by employing gradient techniques as well as random search‐based methods from the literature to solve the same problems. Results clearly indicate that the proposed MRPS algorithm is more robust and efficient in overcoming difficulties associated with local optima and the need for a starting solution vector. Copyright © 1999John Wiley& Sons, Ltd.