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Design and optimization of complex real-time dependable systems

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2 Author(s)
Shi, L. ; Dept. of Ind. Eng., Wisconsin Univ., Madison, WI, USA ; Hwang, P.Q.

Proposes the RINDO (Rapid Iterative Nested Design Optimization) algorithm for optimizing multi-criteria complex systems. We first use a utility function to formulate multi-criteria stochastic optimization problems. An ordinal optimization algorithm is then applied to the utility function for obtaining a set of good solutions. Finally, the gradient surface method is used to search for the optimal solution iteratively. An especially appealing characteristic of RINDO is that it can identify a set of good designs very rapidly. The key thrust of this approach is its integrated, nested (hierarchical), system-level design capabilities. The framework proposed in this paper is generic and application-independent

Published in:

Object-Oriented Real-Time Dependable Systems,1996. Proceedings of WORDS '96., Second Workshop on

Date of Conference:

1-2 Feb 1996