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Abstract: In realistic situations engineering designs should take into consideration random aberrations from the stipulated design variables arising from manufacturing variability. Moreover, many environmental parameters are often stochastic in nature. Traditional nonlinear optimization attempts to find a deterministic optimum of a cost function and does not take into account the effect of these random variations on the objective. This paper attempts to device a technique for finding optima of... (Update)
Context of citations to this paper: More
...points do not necessarily lie in one neighborhood. Usually, two measures can be used to enhance the robustness of an optimal solution [1, 2]. To optimize the expectation of the objective function in a neighborhood of a target point. The expectation of the function is...
...di#erent points do not necessarily lie in one neighborhood. Mostly, two methods have been used to increase the robustness of a solution [1, 2]. Optimization of the expectation of the objective function in a neighborhood around the design point. If the neighborhood is...
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BibTeX entry: (Update)
I. Das. Robustness optimization for constrained nonlinear programming problems. Engineering Optimization, 32(5):585--618, 2000. http://citeseer.ist.psu.edu/das97robustness.html More
@misc{ das00robustness,
author = "I. Das",
title = "Robustness optimization for constrained nonlinear programming problems",
text = "I. Das. Robustness optimization for constrained nonlinear programming problems.
Engineering Optimization, 32(5):585--618, 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/das97robustness.html" }
Citations (may not include all citations):59 Numerical Techniques for Stochastic Optimization (context) - Ermoliev, Wets - 1988
11 Robust optimization of large-scale systems (context) - Mulvey, Vanderbei et al. - 1995
9 Automatic differentiation in robust optimization (context) - Su, Renaud - 1996
3 Stochastic Versus Fuzzy Approaches to Multiobjective Mathema.. (context) - Slowinski, Teghem - 1990
2 Computational techniques for probabilistic constrained optim.. (context) - Mayer - 1990
2 Designing products that are robust to the environment (context) - Box, Jones - 1992
2 Nonlinear Multicriteria Optimization and Robust Optimality (context) - Das - 1997
2 Integrating robustness into multiobjective space-vehicle des.. (context) - Erikstad, Lautenschlager et al. - 1995
1 Stochastic Programming with Multiple Objective Functions (context) - Stancu-Minasian - 1984
1 Multicriteria truss optimization (context) - Koski - 1988
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