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In trying to optimize robustness and flexibility in the long term rather than minimize short-term costs, Johansson recognized that a specialized yet dispersed system would be less vulnerable to exchange-rate fluctuations and political uncertainties.
In addition, double p-doped layers, which are adjacent to the bottom-anode, are introduced to simultaneously optimize robustness and doping efficiency of p-type doping.
Thereby, the problem is reformulated as a well known classical control problem, which enables the use of existing tools to optimize robustness with respect to arbitrary exogenous disturbances.
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This chapter reviews these recent demonstrations of multimodal system robustness, distills general design strategies for optimizing robustness, and discusses future directions in the design of advanced multimodal systems.
Furthermore, this paper presents an approach to optimize the robustness of FIOs with respect to disturbances in finite frequency ranges.
Finally, a multi-objective evolutionary algorithm (MOEA) is presented to search reaction rate constants which optimize the robustness of network and compared with the NSGA-II, which is a representation of a class of modern multi-objective evolutionary algorithms.
Novel inverse Gauss-Newton methods were also used to correct for possible motion artifacts and optimize the robustness of detecting optogenetically evoked responses (Fang and Lee, 2013).
The aims were to produce baseline data which would inform decisions for the main trial design (i.e. population, primary outcome, sample size calculation) and to optimize the robustness of trial processes within the study setting.
Carlson, J. M. & Doyle, J. Highly optimized tolerance: robustness and design in complex systems.
A method of optimizing the robustness of the system is presented.
Numerical prediction of damping then illustrates difficulties in optimizing for robustness.
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