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To demonstrate the proposed problems a numerical problem has been solved by an optimization software LINGO (2013).
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On the contrary, our formulation makes the problem tractable, the exact optimal solution reachable by using an optimization software such as GAMS, and the augmentation easily representable though three independent layers.
This method allows finding an exact optimal solution to the IP problem by implementing an optimization software with no need to introduce advanced heuristic methods.
The disjoint bilinear programming problems at Step 1 are solved by a commercial optimization software package BARON [27, 28].
To this end, a mobile app and a website supported by GAMS (a leading optimization software) have been designed and are being developed to optimize the operations of the city bus business.
It has been designed by using optimization software with an appropriate merit function.
The solutions for both formulations are obtained by using a nonlinear optimization software.
By introducing the switching times as optimization variables, the fuel-optimal low-thrust formation reconfiguration is posed as a nonlinear programming problem (NLP) via direct transcription using multiple-phase Radau pseudospectral method (RPM), which is then solved by a sparse nonlinear optimization software SNOPT.
The simulation was implemented on MATLAB2014b, and the objective function was optimized by the commercial optimization software CPLEX12.1.
On basis of minimum total annual cost, several operating parameters were optimized by pressure-swing optimization software using the sequential iterative optimization procedure and the economics of TCPSD were compared with four different separation configurations.
Then, the optimization problem is transformed into a mixed-integer linear programming model and can be solved by CPLEX optimization software package easily.
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CEO of Professional Science Editing for Scientists @ prosciediting.com