Then, two typical optimization examples are demonstrated through aircraft design for simultaneous optimal attribute assignment and through design of television receiver circuits for optimal module combination, respectively.
Furthermore, FKBN can fully extract the causal relationship between attributes by applying a dynamic searching strategy in the early building stage to identify the optimal attribute order.
To identify the most critical structure attributes for the selection process, optimal attribute weights were calculated using Entropy method.
Policy federation can be complemented with the work of several other authors, e.g., Wei et al.[26], who focus on decision caching and Gheorghe et al.[27], who focus on infrastructure reconfiguration for optimal attribute retrieval and cross-request attribute caching.
Bagging Classification and Regression Tree were used to select the optimal attributes and to build the classification rules sets.
Then the optimal attributes combinations sensitive to log properties are selected by using genetic algorithm and wavelet neural network technology together.
Taspoglutide was developed with these optimal attributes in mind.
The search method generates subsets of features and attempts to find an optimal subset while the attribute evaluator determines how good a proposed feature subset is, returning some measures of goodness to the search method.
User experience (UX) design involves decision making for an optimal mix of product attributes to offer pleasurable UX.
A bi-attribute concave shortest path (BC-SP) problem seeks to find an optimal path in a bi-attribute network that minimizes a linear combination of two path costs, one of which is evaluated by a nondecreasing concave function.
More specifically, these design principles indicate an optimal balance on a certain design attribute that receives the highest aesthetic pleasure (e.g., Most Advanced, Yet Acceptable).
