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The aim of this paper is to focus on a set of sustainable and renewable factors that will be assessed through a precedence constraints evaluation.
The efficiency and constraints evaluation are performed using a program for the thermodynamic calculation of steam turbine stages in the design condition.
Suitable properties of these approaches were adopted to reduce the conservativeness of the quadratic stability condition, to reduce the control inputs constraints evaluation, and to minimize a computational effort.
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'NI': number of iterations; 'NF': number of all component functions evaluations in the objective; 'NC': number of constraints evaluations; 'T': CPU time (in seconds); '-': the corresponding datum are not reported; '(F(x^))': final objective value.
The performance of the two algorithms is similar in terms of the approximate optimal objective value at the final iteration point, although the number of all component functions evaluations in the objective and constraints evaluations is few for Algorithm B, our proposed algorithm performs much better than Algorithm B relative to the cost of CPU running times.
Furthermore, we proposed an optimized graph matching algorithm which speeds up the constraint evaluation for subscriptions.
Furthermore, a common sequence of constraint evaluation is used for all the solutions.
Constraint evaluation is done using SVM which is trained by a data base generated through FEM analysis.
A single model function evaluation is the cycle of the decision variable selection, process simulation, model objective function evaluation and constraint evaluation of a candidate design.
The number of satisfied constraints takes precedence over the amount of violation and the most efficient sequence of constraint evaluation is evolved during the course of search.
The techniques in IDEM include parallel discrete function evaluation, inductive discrete constraint evaluation (IDCE) based on hyper-dimensional error margin indices (HD-EMIs).
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