Ant Colony Optimization is a novel optimization algorithm of simulated evolutionary algorithms.

蚁群优化算法是一种新型模拟进化的优化算法.

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Ant colony algorithms are robust and adaptable as novel optimization methods.

蚁群算法作为一种新型的优化方法,具有很强的鲁棒性和适应性.

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Ant Colony Optimization Algorithms ( ACOAs ) were appropriate for this optimization problem.

本文引入一种全新的寻优算法-蚁群算法.

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A ant colony Algorithms for traffic flow balance distribution is also presented.

提出了面向交通流量均匀分配的蚁群优化算法.

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Ant Colony System ( ACS ) can develop excellent performance via self - adaptive behavior.

蚁群系统能够通过自适应调整不断优化算法的性能.

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Ant colony algorithm ACA is a novel bionic evolutionary algorithm.

蚁群算法是一种新颖的仿生进化算法.

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A hybrid genetic algorithm called ant colony genetic algorithm is presented.

提出一种结合蚁群算法中“信息量留存”思想的遗传算法.

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A novel radial basis function neural network based on ant colony clustering ( RBF ACC ) was proposed.

提出了一种基于蚁群聚类算法和裁剪方法的RBF神经网络优化算法.

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The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties.

蚁群算法是一种模拟进化算法,初步的研究表明该算法具有许多优良的性质.

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By using of searching technic of ant colony algonithm, it can solve this problem very well.

利用蚁群算法的搜索技术, 可以很好地解决这一难题.

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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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This paper introduces the application of ant colony algorithm in traffic flow distribution.

介绍蚁群算法在交通流分配中的应用.

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In this paper, a new algorithm combined with genetic algorithm and ant colony optimization is referred.

论文将遗传算法与蚁群优化算法二者合成,优势互补.

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The paper presents an ant colony clustering algorithm based on directional similarity: ACCADS.

提出了一种基于方向相似性度量的蚁群聚类算法.

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Ant colony algorithm is to optimize the emerging field of evolutionary algorithms a bionic.

蚁群算法是优化领域中新出现的一种仿生进化算法.

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