Sentence examples for maximizing of overall from inspiring English sources

An adequate exposition and defence of the moral norms upheld by Aquinas requires a critique, only hints for which can be found in his work, of theories which claim that choice can and should rationally be guided by a utilitarian, consequentialist or proportionalist master principle calling for maximizing of overall net good (or, some say, incompatibly, for minimizing net evils).

Given the limitations imposed by knowledge of biodiversity, conservation strategies that combine different targets (such as endemic species, threatened species, keystone species, ecological and evolutionary processes, environmental diversity) are seen as the best options to maximize representation of overall, real biodiversity [55].

In summary, by examining brain activity, we supported our hypothesis that preferential choice cannot be characterized as a compensatory process with the aim of maximizing the overall value of a prospect in a conflict solution.

We believe the process we used to prepare this plan can serve as a useful model for other nations undertaking systematic environmental health strategic planning exercises to work toward the goal of maximizing the overall social benefits of government and private-sector investments in protecting public health from undue environmental risks.

Behavior modeling has recently been investigated for designing self-organizing mechanisms in the context of communication networks in order to exploit the natural selfishness of the users with the goal of maximizing the overall utility.

Instead of maximizing the overall classification accuracy, we modified the training goal as minimizing the number of FP at a specified detection sensitivity of TP, denoted as ζ.

To address the above dilemma, two modifications were made based on the LibSVM package: Instead of maximizing the overall classification accuracy, we modified the training goal as minimizing the number of FP at a specified detection sensitivity of TP, denoted as ζ.

A sensor deployment problem for a planar grid region is formulated as a combinatorial optimization problem with the objective of maximizing the overall detection probability within a given deployment cost.

A mixed integer linear program (MILP) model is built to solve for (1) the optimal number, locations, and sizes of various types of processing plants, and (2) the amounts of biomass, intermediate products, and final products to be transported between the selected locations, with the goal of maximizing the overall profit under present constraints.

To respect this issue, in this article, we introduce a multi-timescale cross-layer design along with three sets of constraints: congestion control, link delay, and power control and with the objective of maximizing the overall utility and minimizing the total link delay and power consumption.

We trained the Support Vector Machines in terms of maximizing the overall accuracy using all features.