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It proposes an inequality, called the partial objective constraint, which is based on the portion of the objective function associated with binary variables, to underlie a branch-and-cut approach.
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This term of the objective function tries to locate two machines having a large quantity of the material flow near each other in order to shorten the distance between them and to assign those machines in the same cell to pay the intra-cell material handling cost (IA p ) lesser than the inter-cell material handling cost (IE p ), and finally to take a small portion in the objective function.
With this technique, narrow bounds of the objective function are computed on sub-portions of the search space by combining high order Taylor approximations of the function with interval enclosures of the remainder terms.
Initially the solutions of the objective function are randomly initiated.
The value of the objective function RMSE int) was 40.2°C.
Thus, the convexity of the objective function is proven.
Consider the values as aspiration levels of the objective function.
Section Approximation of the objective function discusses the definition of a tractable objective function.
Furthermore, both steps decrease the value of the objective function.
They show the change of the value of the objective function with the increasing number of objective function evaluations.
To avoid confusion, we use 'value of the objective function' or 'objective value' instead.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com