In this work, we propose a unified theoretical framework to study the capability of any objective function to detect each of the sources as a local maximum (or minimum) in the space of coefficients.
However, the strong trend visible does allow comparison and comment on the predictive capabilities of the objective metrics.
The metrics that have been proposed in the literature estimate the relevance and redundancy differently, thus raising the question: can the metric estimating the association between two variables improve the feature selection capability of a given objective function or in other words a filter.
The model is designed as a multi-objective genetic algorithm to provide the capability of optimizing multiple housing objectives and criteria that include minimizing carbon footprint and water usage during housing operational phase, maximizing thermal comfort, enhancing indoor air and lighting quality, improving neighborhood quality, and minimizing life cycle cost.
Immuno-PCR may provide an option of combining the protein-specific capability of antibodies with the objective quantification of real-time PCR [ 44].
CSv was strongly modulated by pursuit signals and had an enhanced capability of responding to planar objective rather than planar retinal motion when compared with V5+/MT+.
With the help of the EDA based reproduction, the algorithm can lean linkage between decision variables and hence have a good capability of solving complex multi-objective optimization problems, such as the MO-RFCO problem.
However, an important advantage of the alternative multiple source mass-balance isotopic approach over conventional approaches was its capability of producing more quantitative and objective estimates for the probable contributions of multiple sources to total plant water uptake.
It is therefore important to investigate ways of identifying eating capability both through objective measures of strength and subjective measures of perceived difficulty and liking.
We take advantage of GA's capability of global optimization and multi-objective optimization against two serious problems in conventional lens optimization techniques: (1) choosing a starting point by trial and error, and (2) combining multiple criteria to a single criterion.
