The optimal stacking sequence and total ply numbers are obtained by means of an enumeration method, an expert system shell and the classical laminate theory.
In evaluating the expected value, decision variables and the objective function are considered as piece-wise linear functions of energy demands by applying a sensitivity analysis in linear programming and an enumeration method in mixed-integer programming.
To solve the proposed model, an enumeration method is designed.
In this paper, instead of a look-up table we present an enumeration method for constructing the codes.
Such an enumeration method is, however, too demanding in terms of computational time.
Similarly, we designed an enumeration method based on SVM to verify whether the biomarkers panel identified by the SVM-RFE-CV in the training set has still best prediction performance for the testing set.
We investigate the properties of desirable data center networks in these three areas, and compare the results with those obtained by the enumeration method.
Since the unit commitment (UC) problem has the characteristic of high-dimension, discreteness and non-linearity, it takes lots of time to get the exact best solution of this problem by the enumeration method, and the computation time increases dramatically with the size of unit [1].
In the narrowed set of subgraphs, the mismatch values of the subgraphs are calculated by the enumeration method.
In the narrowed set of subgraphs, the mismatch values of its subgraphs are calculated by the enumeration method.
