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The main feature of this research is solving the model with unknown demand function which is suitable with the real-world problems.
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This timing problem is solved in the model by SCF having greater affinity for Fbw7 than Skp2, and having greater affinity for Skp2 than Btrc.
No simulation is exact, since we are not solving the model everywhere, but only at the discretization points in space and/or time.
An illustrative example is solved to test the model applicability.
This example is solved by the GMCLP model and covered demand is 153.4.
Simulated annealing was used for solving the model.
Genetic algorithm was used for solving the model.
Some endogenous parameters can be computed without solving the model.
The Lagrangian function (14) can be introduced for solving the model.
A hybrid genetic algorithm with a fuzzy logic controller algorithm was proposed for solving the model.
A detailed scheduling of oil depots along product pipeline can be obtained by solving the model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com