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However, the limited clinical data on direct comparisons of these agents present a challenge to optimization of disease management.
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In conclusion, these cost function features make the problem P0 a severe challenge to every optimization algorithm.
High computational cost, black-box formulation and stochasticity are some of the challenges related to optimization of design problems involving the simulation of complex mathematical models.
Moreover, the interactive nature makes the subcomponents' landscapes dynamic, which increases the challenge to conduct global optimization.
The application of carbon fiber reinforced polymer (CFRP) material introduces great challenges to the optimization design process, such as complex non-linear material behavior, the inherent uncertainty of design variables and multilevel characteristics of the structure.
The main challenges to the optimization of a homogeneous-charge DI combustion system are to improve volumetric efficiency and fuel air mixing homogeneity with reduced surface fuel wetting.
In particular, the complexity of the assumed variance covariance structure can pose analytical challenges to the optimization techniques.
One challenge to evaluating protein temperature optimization is the localization of some parameters.
The "curse of dimensionality" of dynamic programming (DP) has always been a great challenge to the cascade reservoirs operation optimization (CROO) because computer memory and computational time increase exponentially with the increasing number of reservoirs.
Many-objective Optimization Problems (MaOPs) present various challenges to the current optimization methods.
This type of multi-parametric optimization presents a significant challenge to the medicinal chemistry approach to glucocorticoid dissociation.
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