A new flexible voltage control strategy is proposed in this *** on a set of Pareto optimal solutions,the multiple criteria decision making technique is used to realize a flexible control meeting various control prefer...
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A new flexible voltage control strategy is proposed in this *** on a set of Pareto optimal solutions,the multiple criteria decision making technique is used to realize a flexible control meeting various control preferences of power *** control is considered as a multi-objective problem.A set of feasible solutions saved as Pareto frontier is searched by the jumping gene *** on the solution set,a multiple criteria decision making technique is then exploited to select a suitable one which is applied as the finial on-line solution meeting different operational *** simulation results on a simple six-bus power system demonstrate its effectiveness.
Due to the complicated environment and the supporting procedure of the carrier-based aircrafts, supporting resources are prone to fail when processing supporting operations. In order to reduce the impact of the failur...
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ISBN:
(纸本)9781510835467
Due to the complicated environment and the supporting procedure of the carrier-based aircrafts, supporting resources are prone to fail when processing supporting operations. In order to reduce the impact of the failures and make the takeoff time of all carrier-based aircrafts minimum, a robust pre-scheduling model is established according to the predictable law of supporting resource failure. If a supporting operation is broken down by the unexpected supporting resource failure, then the affected operations will be rescheduled by shifting to right and replacing the supporting resource, which is named reactive scheduling. For the pre-scheduling and reactive scheduling, an improved differential evolution algorithm is proposed. Finally, the feasibility and validity of the model and algorithm are verified by experiments.
To address the dilemma between the accuracy of simulation-model and runtime efficiency which take place in the simulation-based optimization of mobile ad hoc networks, the metamodel-based optimization methodology is i...
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ISBN:
(纸本)9781424472352
To address the dilemma between the accuracy of simulation-model and runtime efficiency which take place in the simulation-based optimization of mobile ad hoc networks, the metamodel-based optimization methodology is investigated to optimize the performance of networks. Hybrid optimization strategy is proposed in detail, which integrated Kriging metamodel, evolution algorithm and trust region algorithm. With this optimization strategy, a nonlinear parameter settings optimization problem is resolved. The results show, the proposed metamodel-based optimization strategy can improve the efficiency of computation-intensive process, it can be successfully applied to the domain of complex systems such as mobile ad hoc networks, facilitating system modeling, analysis and optimization.
In this paper, an estimation of distribution algorithm(EDA) is proposed. SWFZIRS(Sector Window Floating Zoom Immune Random Search) operator has been utilized in fitness calculation. The Gaussian distribution has been ...
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In this paper, an estimation of distribution algorithm(EDA) is proposed. SWFZIRS(Sector Window Floating Zoom Immune Random Search) operator has been utilized in fitness calculation. The Gaussian distribution has been utilized in the estimation of distribution. Experiments show that the algorithm can improve increasing the probability of obtaining the global optimal solution. It can almost obtain the global optimal solution in two-dimension space.
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