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The klystron is designed with a triode system for optimization of gain, efficiency and beam control.
In this study, a unique adaptive neuro fuzzy inference system for optimization of decision making process in natural gas transmission unit is presented.
The aim of this research is to model the age hardening process of the produced composite using response surface methodology (RS M and artificial neural network (ANN), and to use the developed ANN as fitness function for a simulated annealing optimization algorithm (SA-NN system) for optimization of age hardening process parameters.
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The focus of this paper is the CO-compliant stochastic modeling and multi-objective optimization capabilities provided in the APECS system for process optimization under uncertainty and multiple and sometimes conflicting objectives.
This study is the first to describe an automated system for hemodynamic optimization based on cardiac output and pulse-pressure variation optimization.
A hybrid fuzzy-GA system for the optimization of gas production operations was proposed by Park et al. (2010a).
Emergy synthesis was performed at the system and subsystem levels of organization to clarify the structural and functional attributes of this restoration system for further optimization.
Rules generated by the GA based knowledge discovery system have been validated using a computational system for process optimization of fluid dispensing.
The study presented in this paper involves the development and implementation of an innovative 'performance-based' control system for aeration optimization in membrane bioreactors.
The aim of this study was to describe a system for stochastic optimization of the management of boreal forests in a situation where future timber prices, tree growth and regeneration are not known exactly.
The tools applied here provide a valuable system for parallel optimization at small scale also for other kind of cultivations.
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