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Next, a multi-dimensional optimization algorithm is proposed to optimize the objectives of a mobile user.
Current resource configuration methods are unsuitable because they optimize the objectives of only one type of participants – either service seekers or service providers.
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A robust optimization formulation seeks for optimal solutions that optimize the objective function and meet the problem requirements for all possible uncertainties in constraint coefficients.
Finally, Section Objective function optimization describes the algorithm to optimize the objective function.
Stochastic optimization combined with a generalized Monte Carlo scheme is used to optimize the objective functions, the effective piezoelectric coefficients d31 and d15.
We will study the distributed algorithms to optimize the objective vector function under some criteria, for example, Pareto optimality.
The optimal design of flat plate collector area using genetic algorithm is used to optimize the objective function considering the constraints required for the system.
The SURE is employed to optimize the objective function.
The second element is a collection of variables, which are quantities whose values can be manipulated in order to optimize the objective.
The stochastic gradient descent method is adopted to optimize the objective function.
Moreover, we adopt a sequential strategy to optimize the objective function.
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