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The paper presents the investigations concerning optimization of the magnetic bearing construction.
This chapter introduces all the important concepts concerning optimization and nonlinear programming.
Concerning optimization of any of these parameters, different orders of the anion series are obtained and discussed in terms of structural aspects and ion coordination.
In this connection, of particular interest are investigations concerning optimization of semiconductor material synthesis methods directed on fabrication of high quality (stoichiometric ones, without impurities, etc).
Moreover, this study does not raise issues concerning optimization of the proposed method, where we could include some additional variables and analyze them both separately and together.
The proposed investigation procedure is a synthetic analysis concerning optimization of both Ψ and its components Ψh and Ψf, via which the dominating compartment and the key impact factors for irreversibility minimization can be obtained as a guidance for practical design of rotating helical tube heat exchangers.
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Present studies support the physiological rationale for AV optimization, but data concerning VV optimization are still conflicting.
Multiobjective optimization (also known as multiobjective programming, vector optimization, multicriteria optimization, multiattribute optimization, or Pareto optimization) is an area of multiple-criteria decision-making, concerning mathematical optimization problems involving more than one objective functions to be optimized simultaneously.
Multiobjective optimization (also known as multiobjective programming, vector optimization, multicriteria optimization, multiattribute optimization, or Pareto optimization) is an area of multiple-criteria decision-making, concerning mathematical optimization problems involving more than one objective function to be optimized simultaneously.
Concerning network optimization algorithms, a stochastic binary particle swarm optimization (PSO) algorithm is used in [9], to meet the following requirements: minimization of the interference, maximization of the signal-to-interference ratio (SIR), and activation of as few access points as possible to maximize the coverage area and reduce interferences.
A first application of this combination between an outdoor sound propagation numerical code and an optimization algorithm concerns the optimization of noise barrier caps with the following varying parameters: the cap size, its shape and its surface impedance.
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