The bluetongue (BT) epidemic that has prevailed in Europe since 2000 is the first example of continental spread of the BT virus (BTV) in large naive populations of susceptible animals. Based on the results of intensive surveillance and research in countries of the southern Mediterranean that were affected by the infection early on in the epidemic, a new strategy for prevention and control of th...

Endogenous, i.e. decision-dependent, uncertainty has received increased interest in the stochastic programming community. In robust optimization context, however, it rarely been considered. This work addresses multistage mixed-integer with decision-dependent sets. The proposed framework allows us to consider both continuous and integer recourse, including recourse decisions that affect set. We ...

the organization of stone tool production is one of the most important aspects of lithic assemblage studies. reduction process indicates how lithic material was prepared and transported through reductive phases which can be reconstructed according to remaining material from each phase. such studies are important in explaining the differences between lithic assemblages from the same period and i...

We present a unified and tractable framework for distributionally robust optimization that could encompass a variety of statistical information including, among others things, constraints on expectation, conditional expectation, and disjoint confidence sets with uncertain probabilities defined by φ-divergence. In particular, we also show that the Wasserstein-based ambiguity set has an equivalen...

Grid integration of renewable resources such as solar and wind energy can significantly raise the level uncertainty in power systems, making scheduled operation generating units difficult. Therefore, importance operating reserves is more emphasized to prevent disruption by sudden changes outputs generators. In this paper, a stochastic unit commitment (UC) model reflect due large amount proposed...

Many distributed computing environments are based on the paradigms of peer-to-peer networks and grid-based computing. These environments tend to be structurally dynamic but with volatile resource and service availability. Such environments have rules, constraints, and guidelines that govern how tasks are performed. The rules describe how resources, components and services should be allocated an...

 Inventory space requirements in remanufacturing facilities can vary significantly over time and by type of space needed due to variability in recaptured component quality, availability of refurbished components, remanufactured product demand, and returned product rates. Multi-period stochastic programming recourse models are developed to identify optimal adaptive schedules for internal, exter...

Inventory space requirements in remanufacturing facilities can vary significantly over time and by type of space needed, due variability in recaptured component quality, availability of refurbished components, remanufactured product demand, and returned product rates. Multi-period stochastic programming recourse models are developed to identify optimal schedules of internal, external, and recon...