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Ant colony optimization algorithms

  • 蚁群算法(蚁群算法是一种机率型算法,用于在图中寻找优化路径。由Marco Dorigo于1992年提出,灵感来源于蚂蚁寻找食物的行为)

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  蚁群算法

蚁群算法

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Ant colony optimization algorithms

  • abstract: In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.

以上来源于: WordNet

双语例句

  • Ant colony optimization algorithms are investigated in this paper for robot planning in configuration space.

    本文研究了蚁群优化算法在机器人结构空间规划的问题。

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  • To solve the multimodal optimization problem the 1d discrete optimization methods, the genetic and Ant Colony algorithms are applied.

    为了解决多重模态最优化问题,我们运用了一维离散优化方法、遗传算法和蚁群算法。

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  • Such algorithms include evolutionary algorithm (EA), particle swarm optimization (PSO), artificial immune system (AIS) and ant colony optimization (ACO) and so on.

    这类算法主要包括进化算法(EA)、粒子群算法(PSO)、人工免疫系统(ais)和蚁群算法(aco)等等。

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