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A genetic algorithm based methodology is proposed to optimize the area-wide layout according to piping implementation.
In this paper, artificial bee colony (ABC) optimization based methodology is proposed for automatically extracting Takagi Sugeno (TS) fuzzy systems with enhanced performance from data.
A probability density evolution method (PDEM) based methodology is proposed for the investigation of stochastic dynamic stability control of structures, where the fractional order state feedback control is specifically considered.
In addition, a consistent, expert opinion based methodology is proposed in order to assign particular vulnerability functions to building classes according to the development level of each country, the city complexity and the hazard level of the region.
In this paper an artificial neural network (ANN) based methodology is proposed for (a) solving the basic load flow, (b) solving the load flow considering the reactive power limits of generation (PV) buses, (c) determining a good quality load flow starting point for ill-conditioned systems, and (d) computing static external equivalent circuits.
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A pattern recognition-based methodology is proposed for fault diagnosis of multivariate and dynamic systems.
In this paper, a risk-based methodology is proposed to optimize the placement of hazardous gas detectors.
Herein, a superstructure-based methodology is proposed for optimal retrofit of a CO2 capture pilot plant using rigorous rate-based model for the reactive distillation.
A model-based methodology is proposed which derives process design decisions at different levels of the process hierarchy under consideration of various process intensification options.
For this reason, a systematic decision process for selecting the best design idea by means of a novel integrated optimization-based methodology is proposed.
In the current work, a new initial temperature-based methodology is proposed to predict the optimal thickness and to evaluate the effect of influential factors on optimal thickness.
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