As a traditional model in the operations research and management science domain, deterministic lot-sizing problem is embedded in many application problems such as production and inventory planning and has been consistently drawing attentions from researchers. In this paper we consider basic versions of lot-sizing models in which problem parameters are stochastic and develop corresponding scenar...

Complexity in ecological systems has challenged forest simulation modelers for years, resulting in a number of approaches with varying degrees of success. Arguments in favor of hierarchical modeling are made, especially for considering a complex environmental issue like widespread eastern hemlock regeneration failure. We present the philosophy and basic framework for the NORTHern Woodland Dynam...

We present a stochastic model for capacity-expansion planning of electricity distribution networks subject to uncertain demand (CEP). We formulate CEP as a multistage stochastic mixed-integer program with a scenario-tree representation of uncertainty. At each node of the scenario-tree, the model determines capacity-expansions, operating con guration, and power ows. A “super-arc” representation ...

Following the increasing popularity of unmanned aerial vehicles (UAVs) for remote sensing applications, the reliable operation under a number of various radio wave propagation conditions is required. Assuming common outdoor scenarios, the presence of trees in the vicinity of a UAV or its ground terminal is highly probable. However, such a scenario is very difficult to address from a radio wave ...

We propose a stochastic model for the daily operation scheduling of a generation system including pumped storage hydro plants and wind power plants, where the uncertainty is represented by the hourly wind power production. In order to assess the value of the stochastic modeling, we discuss two case studies: in the former the scenario tree is built so as to include both low and high wind power p...

The simulation of tree species migration suffers from many sources of uncertainty. In our study we examined the influence of species parameter uncertainty on simulated tree species migration, using the spatially linked dynamic forest landscape model TreeMig. The impact of uncertainty becomes especially apparent under critical conditions arising from the interaction of species sensitivities to c...

This paper presents a comparative study of several methods for estimating the true error of tree-structured regression models. We evaluate these methods in the context of regression tree pruning. Pruning is considered a key issue for obtaining reliable tree-structured models in a real world scenario. The major step of a pruning process consists of obtaining accurate estimates of the error of al...

The rapid accumulation of multilocus data sets has led to dramatic advances in methodologies for estimating evolutionary relationships among closely related species, but relatively less advancement has been made in methods for discriminating between competing species delimitation hypotheses. Multilocus data sets provide an advantage in testing species delimitation scenarios because they offer a...

The paper presents the first ever demographic scenarios for the regions of Russia. Scenarios are developed for 49 ohlusts (regions), six kruys (territories), 21 republics, one autonomous oblast and two national cities, Moscow and St. Petersburg. Five scenarios are considered: two optimistic scenarios, two medium scenarios and one pessimistic scenario. The scenarios are combinations of three mor...

a r t i c l e i n f o a b s t r a c t JEL classification: C72 C79 D40 D43 D44 Keywords: Algorithmic mechanism design Worst case scenario equilibrium analysis Frugality Minimum cost spanning tree problem Price of imperfect competition A buyer procures a network to span a given set of nodes; each seller bids to supply certain edges, then the buyer purchases a minimal cost spanning tree. An effici...