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After getting an optimal input, the parameter estimation is performed by minimizing a weighted least square criterion.
Controller gains were optimized by minimizing a weighted sum of position errors, orientation errors, and muscle activations.
In solving Multiple objectives Dynamic Programming Problem (MODP), classical approaches reduce the multiple objectives into a single objective of minimizing a weighted sum of objectives.
By minimizing a weighted sum of the total annual cost and primary exergy input, the problem is solved by branch-and-cut.
In solving multiple objectives dynamic programming problem (MODP), classical approaches reduce the multiple objectives into a single objective of minimizing a weighted sum of objectives.
Assuming the mobile nodes are uniformly distributed along the circumference of a circle, the optimal solution to the network planning problem, minimizing a weighted sum of transmit energy costs and installation costs, can be stated as a convex minimization problem.
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The Pareto frontier is found to provide different design options for planners based on economic and sustainability priorities, through minimizing a weighted-sum of the total annual cost and primary exergy input, by using branch-and-cut.
Since the objectives are not conflicting we can directly minimize a weighted sum of J1 and J2, with weights w1 and w2.
Optimal operation aims to minimize a weighted combination of processing time, power consumption, and diluant consumption.
The objective is to minimize a weighted sum of the mean and standard deviation of structural compliance.
For the social optimization problem, the objective is to nearly minimize a weighted sum of the individual costs.
More suggestions(16)
minimizing a posynomial
minimizing a global
minimizing a robust
minimizing a appropriate
minimizing a mathematical
minimizing a submodular
minimizing a constraint
minimizing a variational
minimizing a log-likelihood
minimizing a key
minimizing a least-square
minimizing a multi-objective
minimizing a suitable
minimizing a metric
minimizing a nonconvex
minimizing a nonlinear
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