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For small scale problems, we are able to solve mixed-integer linear programming (MILP) by the optimization toolbox in Matlab using syntax intlinprog.
The resulting optimization problem is formulated as a standard second-order cone programming problem and solved by the optimization toolbox Mosek.
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The constrained optimization problem (4) is solved by the SQP method of the optimization toolbox of MATLAB.
Parameter estimation was performed using a combination of fitting by hand and functions from the optimization toolbox of Matlab.
Based on genetic algorithm and the optimization toolbox of MTLAB, the divergence angle has been optimized.
The optimization toolbox in Matlab is used that calls the solver by syntax intlinprog to solve MILP for this small scale problem.
The look-up table optimization toolbox is implemented in MATLAB® and utilizes the optimization toolbox.
dTRR is implemented using the Optimization Toolbox of Matlab v7.8.
In the following examples, the optimization toolbox in [22] is used for the problem.
In the following examples, the optimization toolbox in [32] is used for these problems.
In this paper, we solved BIP with BNB method, which can be utilized from the optimization toolbox of MATLAB.
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