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In the dynamic ensemble selection algorithm, the region of competence of the test sample was composed of fixed samples, which would affect the classifier selection. Therefore, the paper proposed the DES-DCR-CIER algorithm based on dynamic region of competence strategy. Firstly, this algorithm used the heterogeneous classifier to generate the base classifier pool to deal with the problem that the difference between the homogeneous ensemble classifiers was little and the number of heterogeneous ensemble classifiers was small. Next, it applied three steps including the mutual K nearest neighbor with adaptive distance algorithm, approaching the distance center of the sample set and removing the class edge samples to determine the dynamic region of competence of the test sample and it used overall complementarity index to select a set of classifiers. Finally, the classifiers were synthesized by the ER rule to get integration. Experiments on the diagnosis data of breast mass from 8 sonographers in a tertiary hospital in Hefei, Anhui Province and American Wisconsin Breast Cancer Diagnostic data set showed that the diagnostic model based on the DES-DCR-CIER algorithm had better accuracy. [ABSTRACT FROM AUTHOR]

In this paper, we propose a path-based user equilibrium assignment model with ridesharing to study the impact of ridesharing activities on traffic assignment problem. In the proposed ridesharing user equilibrium model, travelers not only choose routes from origin to destination, but also decide transportation modes to minimize travelers' generalized path travel cost. The proposed model is more realistic than the existing ones on account of two additional assumptions: 1) each passenger is carried by only one ridesharing driver and each driver share a ride with one rider; 2) due to ridesharing activities, both ridesharing drivers and passengers receive an extra ridesharing rewards, passengers gain ridesharing cost discount. We analyze the impacts of key parameters on equilibrium results in the Braess network. The numerical results show that ridesharing rewards and cost discount are effective measures to motivate travelers to participate in ridesharing activities. [ABSTRACT FROM AUTHOR]

The smoothing-type algorithm has been successfully applied to solve various optimization problems. Based on a new class of smoothing functions, in this paper, we propose a smoothing-type algorithm with a mixed line search for solving the nonlinear complementarity problem. Under suitable conditions, the proposed algorithm is well-defined and maintains global convergence and local superlinear convergence. Preliminary numerical results are also reported and demonstrate the efficiency of the proposed algorithm. [ABSTRACT FROM AUTHOR]