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Provides a novel hybrid ant colony algorithm combining genetic algorithm with implicit parallel function to make up the shortcomings of common ant colony alogrithm in the vehicle routing problem including slow convergence in the early stages. Introducing the encoding and mutation operation can improve the efficiency of solving the optimal distribution path. The comparative analysis of vehicle routing...
To efficiently reduce space complexity of a discernibility matrix, a compact structure, the so-called "condensing tree" (denoted by C-Tree for short ), was introduced, and two efficiently heuristic algorithms based on C-Tree for attribute reduction were presented, but the previously proposed algorithms only obtain one attribute subset. Therefore, in this paper, a novel condensing tree based...
Machine learning is an effective method, whose aim is recognize unknown samples through learning from known samples. At present, artificial neural network (ANN), support vector machine (SVM) and genetic algorithm (GA) are the most popular machine learning methods, but they all have some defects as well as some merits. In this paper, a new machine double-layer learning strategy is put forward. It integrates...
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