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It is assumed that the equations describing the dynamics of the maximizing and minimizing players are unknown and the cost function to be minimized is unknown but available for measurement to both players.
An expected cost per unit time is considered as the objective function to be minimized.
The objective function to be minimized is the levelized cost of energy.
The target function to be minimized is computed via finite-element simulation.
The cost function weights and combines these objectives into a scalar function to be minimized.
As such, the fitness function to be minimized is the one given by EPE measure.
Now a cost function to be minimized is defined on the set points.
The objective function to be minimized is the total annual cost.
The objective function to be minimized is the annual total cost.
Objective function The objective function to be minimized is now formally stated as Eq. (1).
The penalty function to be minimized by the planning algorithm consists of two parts.
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CEO of Professional Science Editing for Scientists @ prosciediting.com