Computational Technology Resources - CCP

Keywords: reliability, optimization, redundancy, heuristic, stochastic.

Summary

Reliability optimization plays an important role in the planning and design of modern technological systems. As it is well-known the reliability of an overall system can be increased by adding redundant components or increasing the reliability levels of subsystems, but any kind of redundancy imposes many difficulties such as an increase in the system cost, weight or power.

Decision makers are often faced with the problem of maximizing the reliability of a system subject to certain resource constraints which in general leads to an integer nonlinear programming problem. Many authors [1,2] have developed different algorithms for solving this class of problem and several heuristic, dynamic programming, linear programming, non-linear programming with integer variables, geometric programming methods were summarized in [3].

All these methods look at the same problem in different ways and are quite different in how they carry out their search toward an optimal solution, but we believe that methods collaborating in some way have a good possibility of providing a better performance than the methods on their own.

In this paper we present a new hybrid method that we have called penalty simultaneous perturbation stochastic approximation restarted with Sharma-Venkateswaran (PSPSARSV). PSPSARSV is implemented with Matlab and can solve any problem of constrained redundancy optimization in complex systems. A full description of the method is presented and an example of bridge complex system is illustrated to demonstrate the robustness and high performance of the proposed method.

References

1: J. Sharma and K.V.Venkateswaran, "A direct method for maximizing the system reliability", IEEE Transaction on Reliability, 20, 256-259, 1971.
2: K.K. Aggarwal, "Redundancy optimization in general system", IEEE Transaction on Reliability, 25, 330-332, 1976.
3: A.Tillman, C.Hwang, W.Kuo, "Optimization of Systems Reliability", Industrial Engineering, 4, 1980.

purchase the full-text of this paper (price £20)

go to the previous paper
go to the next paper
return to the table of contents
return to the book description
purchase this book (price £145 +P&P)

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 88 PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: B.H.V. Topping and M. Papadrakakis Paper 108 A Hybrid Method for Reliability and Redundancy Allocation in a Complex System W. Elalem¹^,², A. El Hami², R. Ellaia¹ and M. Souissi¹ ¹Laboratory of Study and Research in Mathematics Applied, Mohammed V University - Engineering Mohammedia School, Rabat, Morocco ²Laboratory of Mecanics of Rouen, National Institute for Applied Sciences - Rouen, St Etienne du Rouvray, France doi:10.4203/ccp.88.108 purchase the full-text of this paper Full Bibliographic Reference for this paper W. Elalem, A. El Hami, R. Ellaia, M. Souissi, "A Hybrid Method for Reliability and Redundancy Allocation in a Complex System", in B.H.V. Topping, M. Papadrakakis, (Editors), "Proceedings of the Ninth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 108, 2008. doi:10.4203/ccp.88.108 Keywords: reliability, optimization, redundancy, heuristic, stochastic. Summary Reliability optimization plays an important role in the planning and design of modern technological systems. As it is well-known the reliability of an overall system can be increased by adding redundant components or increasing the reliability levels of subsystems, but any kind of redundancy imposes many difficulties such as an increase in the system cost, weight or power. Decision makers are often faced with the problem of maximizing the reliability of a system subject to certain resource constraints which in general leads to an integer nonlinear programming problem. Many authors [1,2] have developed different algorithms for solving this class of problem and several heuristic, dynamic programming, linear programming, non-linear programming with integer variables, geometric programming methods were summarized in [3]. All these methods look at the same problem in different ways and are quite different in how they carry out their search toward an optimal solution, but we believe that methods collaborating in some way have a good possibility of providing a better performance than the methods on their own. In this paper we present a new hybrid method that we have called penalty simultaneous perturbation stochastic approximation restarted with Sharma-Venkateswaran (PSPSARSV). PSPSARSV is implemented with Matlab and can solve any problem of constrained redundancy optimization in complex systems. A full description of the method is presented and an example of bridge complex system is illustrated to demonstrate the robustness and high performance of the proposed method. References 1 J. Sharma and K.V.Venkateswaran, "A direct method for maximizing the system reliability", IEEE Transaction on Reliability, 20, 256-259, 1971. 2 K.K. Aggarwal, "Redundancy optimization in general system", IEEE Transaction on Reliability, 25, 330-332, 1976. 3 A.Tillman, C.Hwang, W.Kuo, "Optimization of Systems Reliability", Industrial Engineering, 4, 1980. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £145 +P&P)
Back to top	©Civil-Comp Limited 2023 - terms & conditions