The synergy effects are attributed to the load sharing among the constituents and are explained using a semi-empirical model that utilizes a stochastic strand placement procedure and an adaptation of the analytical formulas for the interlaminar shear and bending stress distributions.
Considering these results, a strong case for the use of optimal sensor placement using stochastic programming considering CVaR is made for improving safety systems.
STAR's model-based predictive GC forward predicts potential patient-specific behavior using the 5th and 95th percentile, choosing an intervention to optimize the placement of these stochastic bounds [28, 33].
Introduces the state-space approach to multi-input-multi-output control system analysis and synthesis, including full state feedback using pole placement, linear quadratic regulator, stochastic state estimation, and the design of dynamic control laws.
Simulated annealing (Beckner and Song 1995), genetic algorithm (Yeten et al. 2003), particle swarm optimization (Onwunalu and Durlofsky 2010), the covariance matrix adaptation evolution strategy (CMAES) (Ding 2008) are popular stochastic optimization algorithms applied to the well placement problem.
This chapter discusses two approaches to safety stock placement, which are termed as "stochastic-service model" and the "guaranteed-service model".
And fourth, this technique is not suitable for tasks such as directed self-assembly and self-organization into complex, prespecified geometries, because of the stochastic nature of the aggregate and the random placement and coupling of the components.
Briefly, it can be concluded from the literature that stochastic methods are well suited for the well placement problem since normally the problem type is discrete.
Due to the stochastic nature of the photon paths, the optimal placement of the optodes is not trivial except for simple regular geometries such as cylinders or spheres.
To study the geometrical constraints of Ca2+ channel placement in domain overlap control of release, we used stochastic MCell modelling, at active zones for which the position of docked vesicles was derived from electron microscopy (EM).
A stochastic programming formulation considering Conditional-Value-at-Risk (CVaR) is developed for the optimal placement of gas detectors in petrochemical process facilities.
