You may recall from Part 2 in this series that the directional derivative of the objective function gives the direction in which the objective function grows in a maximization problem.
Two representations of contingent epiderivative of the value map is given in terms of the derivative of the objective function, the contingent derivative of the constraint .
This marginal says that if the value of the brownie variable could ever be -1, the objective function would improve by 0.275, but of course that is not useful for this problem's setup.
The monotone optimization is to maximize a monotone objective function constrained by monotone functions.
On the conditions that vector objective function is like-convex and quasi-convex, we obtain the connectedness of G-proper efficient solution set of the multiobjective optimization problem.
If the control plan can't satisfy the green band width of streetcar, the objective function will be modified to the maximum of green band width of streetcar, and the model will be solved again.
It is proved that the optimality conditions are also sufficient if the objective function is a convex function of the plastic limit bending moment.
The simulated-annealing optimization method is modified, so that it can be used to DEDS optimization designs by simulation in which the objective function values could not be evaluated accurately.
This very simple program declares the two decision variables: the constraint and the objective function.
According to the principle of speed regulation and taking the minimum year cost as objective function, the result of optimum design for pumping station with large variation of water level is obtained.
The space debris and meteoroid environment are defined followed by the formulation of the general weight objective function.
At the same time, it can get more precise values by putting related coefficient of fitting spectrum and objective function into Genie Algorithm fitness function.
Not only structural construction cost but also loss expectation in the service life of the structure should be considered in the objective function of structural optimization.
In order to optimize the process, formulation of objective function is necessary.
The objective function of the model is a quadratic function with separable in the variables, and the constraints are linear.
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