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Associated with ad-hoc statistical strategies to propose optimum candidates within the estimated feasible domain, EGO enables the resolution of complex optimization problems.
In this section, we propose optimum power allocation schemes minimizing the asymptotic outage probability with/without feedback delay.
Here, we propose optimum algorithms to solve the non-convex optimization Problems 1 and 2. We can prove that both problems have global minimums (Appendix), and we can achieve those in our proposed algorithms.
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Proposed optimum conditions are simulated to insure the obtained results.
It is concluded that the proposed optimum design model yields rational, reliable, economical and practical designs.
The proposed optimum design can be considered as a step toward achieving the economically attractive line concentrator technology.
This paper investigates the computational complexity and proposes optimum approximation of segmentation with removal of contour initialization.
Therefore, by proposing optimum refrigeration levels, reasonable saving (15%) in power consumption was observed without the need for new investment.
Further, the optimum arrangement of bracing points to maximize the rotational capacity was derived, and the proposed optimum bracing point was successfully verified.
The proposed optimum design technique is applied to determine optimum geometry for bridge decks and properties of the FRP material by carrying out three-dimensional numerical modeling.
A numerical example is presented to compare the efficiency of the proposed optimum simple SSADT plans and a SSADT plan proposed by a previous study.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com