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Stochastic methods of global optimization are suggested as robust alternatives.
It pioneers cost-saving methods of global outsourcing and resistance to unionization.
Methods of global modelling of a high-speed train emission are also presented.
A general estimation algorithm is proposed, based on classical methods of global sensitivity analysis.
Both of the methods of global state variable separation and symplectic eigenfunction expansion are used to find the analytical solution of the problem.
The procedure is based on Genetic Algorithms and three different methods of global optimization: Neural Networks, Radial Basis Functions and Kriging approximation.
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In particular, a method of global synchronization by adding or removing a certain number of links is proposed.
Chaotic optimization algorithms as an emergent method of global optimization have attracted much attention in engineering applications.
Sleep EEG recordings were analysed using the method of global dimensional complexity compared to conventional sleep scoring techniques.
To improve the energy efficiency of REEBs developed by Tsinghua University, an optimal design method of global optimization-based strategy is investigated.
Based on the Lyapunov stabilization theorem, a new method of global chaos synchronization among three different structures chaotic systems is proposed under the framework of drive response systems.
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