A new heuristic density-based ant colony clustering algorithm (HDACC) is presented.

提出一种基于密度的启发性群体智能聚类算法。

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Ant Colony optimization (ACO) is a new-style simulating evolution algorithm. The behavior of real ant colonies foraging for food is simulated and used for solving optimization problems.

蚁群算法是一种新型的模拟进化算法，它通过模拟蚁群在觅食过程中寻找最短路径的方法来求解优化问题。

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Ant colony algorithm is a new heuristic optimization method and it has many merits.

蚁群算法是一种新型启发式优化算法，具有较多优点。

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