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Exact(22)
In this approach, the conventional single level programming has been formulated using the weighted sum technique with the weight is equal to reciprocal of the distance between the maximum and minimum value of each decision makers.
By using the weighted sum method with random weights, we show that the proposed multi-objective flower algorithm can accurately find the Pareto fronts for a set of test functions.
To simplify the design problem, the three objectives are aggregated using the weighted sum approach with the same weight for each objective.
The 'best integration weights' are then computed by algebraically combining these measures using the weighted sum rule.
The match scores are fused using the weighted sum rule without any score normalization.
SMI attribute scores are calculated using the weighted sum model of relevant measures.
Similar(38)
Using the weighted sums (according to the contribute of each pose) (alpha ) and (beta ) are re-optimized and the new (alpha ) and (beta ) coefficients are used to update the contribute of each pose to the total interaction energy for each compound, etc. [18].
This was finally recalculated by employing flood zoning analysis technique, which uses the weighted sum overlay of slope, elevation, drainage density, land use/land cover and soil types.
We consider a multi-objective in terms of the compliances under multi boundary conditions, and use the weighted sum compliance as the objective functional and minimize it under the volume and the state equation constraints.
We now use the weighted sum scalarization method to reduce an uncertain multiobjective linear programming problem to a single objective uncertain linear programming problem in order to compute robust efficient solutions by computing robust optimal solutions for the uncertain single objective linear programming problem.
We used the weighted sum of 'summary vectors' (i = 1, 2, 3) of the three sets of input variables.
More suggestions(15)
using the weighted kappa
using the maximum sum
using the simple sum
using the weighted relaxation
using the raw sum
using the initial sum
using the cumulative sum
using the undisclosed sum
using the total sum
using the weighted function
using the weighted averaging
using the squared sum
using the weighted motion
using the weighted attribute
using the weighted property
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