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With resource bounds and time constraints, reliability and efficiency are difficult to achieve.
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Several formulations are presented: Reliability-based optimal design of structural systems with component or systems reliability constraints, reliability-based optimal inspection planning and reliability-based experiment planning.
In particular, QoS usage and management constraints (performance, reliability, etc).
However, the reserve allocation may also handle with the network constraints and reliability concerns to achieve more accurate results.
The goal of our work is to design algorithms that optimize makespan under the constraints of reliability and temperature.
In addition to such important features, field application systems should also respond to other constraints like reliability and availability and additionally, depending on the specific application, to some peculiar requirements in terms of safety.
The objective of this paper is to present an efficient computational methodology to obtain the optimal system structure of electronic devices by using either a single or a multiobjective optimization approach, while considering the constraints on reliability and cost.
Having explained the general system concept, its time constraints, and reliability, we will now discuss in detail the image analysis.
The designed controller satisfies the H∞ robust stability constraint and the reliability constraint (in terms of stability and performance) under actuator faults.
In Lin's formulation, this adjustment is made by changing the uncertainty level or probability of constraint violation (reliability level) or both.
In this paper a greedy energy-efficient (GEE) algorithm is proposed to improve the energy efficiency under the constraint of reliability.
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