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Multi-objective approach has been used to achieve the optimum design of a laminate for combined normalized weighted cost and weight minimization.
In addition, a weighted cost function for which weights would depend on the condition number of each matrix can be considered.
A heuristic search performed using a weighted cost function, with the weights representing conditions on ambiguity function, illustrates our proposed method.
The weighted cost Z ̄ (scaler) is defined by using the weight vector λ, as Z ̄ = ℤ ^ λ = ℤ ^ λ 0 λ 1 ⋯ λ ℓ map - 2 λ ℓ map - 1 t.
To enable a trade-off between process performance and energy loss, a weighted cost criterion is defined.
The main advantage lies in the generality of the weighted cost index and the simplicity of the results.
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The algorithm calculates the weighted cost-effectiveness of each cell based on the given weighting factors, ranks the cells from high to low based on weighted cost-effectiveness, and iteratively selects to treat the most cost-effective untreated cell until the budget limit is reached.
METHODS AND RESULTS: A prospective economic evaluation piggy-backed onto the randomised controlled Interdisciplinary Network for Heart Failure (INH) Study weighted costs of the intervention HeartNetCare -HF™ (HNC) regarding effectiveness, mortality and quality-adjusted life years (QALYs).
Cooperation between subsystems is promoted by a scheme in which a local subsystem designs hypothetical plans for others in some cooperating set, and considers the weighted costs of these subsystems in its objective.
Shrader-Frechette (2002) has advocated models of ethically weighted cost-benefit analysis and greater public involvement in risk assessment.
By applying a robust approach based upon an iterative, weighted, cost-minimization algorithm known as stress-majorization [18, 19], it is shown that a cluster of sensor nodes can be efficiently localized in the absence of complete pairwise distance measurements.
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