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The obtained results show the soundness of the proposed multi objective optimization technique and its feasibility to be adopted as suitable methodology for optimal design of permanent magnet flux switching generator for wind application.
In this study, the microwave-assisted extraction (MAE) variables were optimized using a face-centered central composite design of response surface methodology for optimal recoveries of total flavonoid content (TFC) and antioxidant capacities (DPPH and ABTS) of Vernonia amygdalina leaf extract.
An methodology for optimal egress route assignment is suggested.
The results of this study suggest a methodology for optimal bioreactor design for environmental applications.
A methodology for optimal solution is proposed based on objective function and is given in Fig. 4.
In this paper, a new methodology for optimal product positioning by considering engineering constraints is proposed.
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This paper presents two methodologies for optimal model-based decomposition, where an optimization problem is decomposed into several smaller sub-problems and subsequently solved by augmented Lagrangian decomposition methods.
Thus, many efforts are required to strengthen the methodologies for optimal analysis of Big Data.
This paper develops three novel methodologies for optimal reconfiguration of distribution networks in the presence of distributed energy resources (DERs).
This paper presents two new methodologies for optimal placement of distributed generation (DG) in an optimal power flow (OPF) based wholesale electricity market.
Results: In this work, we present an optimal control-based methodology for designing optimal stimulus experiments aimed at robust model discrimination.
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