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Solving the Optimization of Projection Pursuit Model Using Improved Ant Colony Algorithm

机译:用改进的蚁群算法解决投影追踪模型的优化

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Projection pursuit was a reducing dimensions treatment method. It was widely used to make the transition from high dimensional problem to one dimensional problem by projection direction. It was usually difficult to search the best projection direction, however it could be solved by an optimization question. Aimed at the prematurity and stagnancy shortages of basic ant colony, some improved countermeasures were put forward. Simulative result indicated that it was applicable and effective to solve the above optimization question based on improved ant colony algorithm
机译:投影追求是降低尺寸处理方法。通过投影方向,广泛用于使从高维问题转变为一维问题。通常难以搜索最佳的投影方向,但是它可以通过优化问题来解决。针对基本蚁群的早产和停滞不前的短缺,提出了一些提高的对策。模拟结果表明,根据改进的蚁群算法解决上述优化问题是适用和有效的

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