Local Dynamic Updating Method of Orebody Model Based on Mesh Reconstruction and Mesh Deformation

In this paper, to update the orebody model based on the given interpreted geological information, we present a local dynamic updating method of the orebody model that allows the interactive construction of the constraint deformation conditions and the dynamic updating of the mesh model. The rules for constructing deformation constraints based on the control polylines are discussed. Because only part of the model is updated, the updated mesh is effective and the overall quality is satisfactory. Our main contribution is that we propose a local dynamic updating method for the orebody model based on mesh reconstruction and mesh deformation. This method can automatically update a given 3D orebody model based on a set of unordered geological interpretation lines. Moreover, we implement a deformation neighborhood region search method based on the specified ring radius and a local constrained mesh deformation algorithm for the orebody model. Finally, we test the method and show the model update results with real geological datasets, which proves that this method is effective for the local updating of orebody models.

Region search evolutionary algorithm with constraint handling for multi-objective short-term wind-solar-hydro-thermal scheduling

Due to the depletion of fossil energy and environmental pollution, renewable clean energy has been paid more and more attention. This paper researches a multi-objective wind-solar-hydro-thermal scheduling model (MOSWS), whose objectives are to minimize the economic cost and minimize the environmental pollution caused by thermal power generation. The region search evolutionary algorithm (RSEA) with constraint handling method is proposed to solve the constrained multi-objective problems and applied to MOSWS model. From the experimental results, we find that RSEA with constraint handling is able to solve the constrained multi-problems and outperforms MODE-ACM in terms of both convergence and diversity. The RSEA is also applied to hydro-thermal system. The results show that wind-solar-hydro-thermal system can not only increase economic benefits, but also reduce the impact of thermal power generation on the atmospheric environment.

Optimal Region Search with Submodular Maximization

Region search is an important problem in location-based services due to its wide applications. In this paper, we study the problem of optimal region search with submodular maximization (ORS-SM). This problem considers a region as a connected subgraph. We compute an objective value over the locations in the region using a submodular function and a budget value by summing up the costs of edges in the region, and aim to search the region with the largest objective score under a budget value constraint. ORS-SM supports many applications such as the most diversified region search. We prove that the problem is NP-hard and develop two approximation algorithms with guaranteed error bounds. We conduct experiments on two applications using three real-world datasets. The results demonstrate that our algorithms can achieve high-quality solutions and are faster than a state-of-the-art method by orders of magnitude.

OPTIMAL MONETARY AND FISCAL POLICY IN A CURRENCY UNION WITH FRICTIONAL GOODS MARKETS

We develop an open economy model of a currency union with frictional goods markets and endogenous search decisions to study optimal monetary and fiscal policy. Households finance consumption with a common currency and can search for locally produced goods across regions that differ in their market characteristics. Equilibrium is generically inefficient due to regional spillovers from endogenous search decisions. While monetary policy alone cannot correct this distortion, fiscal policy can help improve allocations by taxing or subsidizing production at the regional level. When households of only one region can search, optimal policy entails a deviation from the Friedman rule and a production subsidy (tax) if there is underinvestment (overinvestment) in search decisions. Optimal policy when households from both region search requires the Friedman rule and zero production taxes in both regions.