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HTWCS system is formulated as a multi-objective optimization problem to optimize conflictive objectives, i.e., economic and environmental criteria.
Then we implement a nonlinear algorithm on a minimal cost multicommodity flow (MCMF) problem to optimize some control policies subject to optimal flows.
Hence, we can formulate the optimal sensor/actuator placement problem to optimize other closed-loop properties (norm of the closed-loop system) with less computational requirement than the model-based method mentioned above.
To this end, this work aims to solve the joint optimal RL and PA problem to optimize the SE in single-relay-assisted UWB-based WBANs.
Therefore, a decision-maker must resolve the parameter selection problem to optimize each response.
This work has also addressed the duplicate target coverage problem to optimize the network performance while increasing the network lifetime.
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Besides that, the work in [10] solved two optimization problems to optimize the information rate.
More specifically, under practically reasonable high first-hop signal-to-noise ratio (SNR) assumption, we demonstrate that the problem can be decomposed into two standard semidefinite programming (SDP) problems to optimize source and relay matrices separately.
Using the matrix perturbation theory and the equivalent modified equation approach for finite difference methods, we propose a class of minimization problems to optimize the free-parameters in the MRT-LBM.
Health workers need to actively look for and manage these problems to optimize their patients' total biopsychosocial care.
Convex semidefinite optimization problem is to optimize an objective convex function over a linear matrix inequality.
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