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The developed strategy aims at the case in which the controller performs in the output-tracking scheme following an optimal set point that is provided by an upper optimization layer of the plant control structure.
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The upper level optimization problem is solved by evolutionary multiobjective optimization algorithms, where a greedy reassignment local search operator, capable of exploiting the domain knowledge and information from problem instances, is introduced to improve the efficiency of the algorithm.
The upper bound optimization will be solved both by the proposed decomposition algorithms and by the CVX convex optimization toolbox [20], while the lower-bounded optimization will only be solved by CVX.
The PFA decision making is represented as an upper-level optimization problem for optimal selection of the base modules and compound modules.
The L-CPFA decision by a designer (game-leader) is represented as an upper-level optimization problem for optimal configuration of module instances and architecture of compound modules and product variants from the perspectives of economic and environmental performances.
Generally, control strategies used in boiler-turbine units are implemented as the hierarchical structures consisting of an upper economic optimization layer and a separate lower feedback control layer.
which gives the upper bounded optimization problem (38a).
A natural application of the paradigm is found to arise in the area of bi-level programming wherein an upper level optimization problem must take into consideration a nested lower level problem.
Enhancement of the aeroelastic stability is selected as an objective in the upper-level optimization.
In the upper-level optimization, the response surface method (RS M, is selected.
Use of the upper-level optimization causes a 13 18% increase in the flutter speed when compared to the baseline configuration.
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