• Ant Colony algorithm is a novel simulated evolvement algorithm solving complicated combinatorial optimization problem and its typical feature is swarm intelligence.

    蚁群算法是一种新颖的求解复杂组合优化问题的模拟进化算法,它具有典型的群体智能的特性。

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  • This paper presented a vehicle navigation system simulation model based on ant colony algorithm.

    本文提出一种基于蚁群算法的车辆导航系统模拟模型。

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  • Here we use the ant colony algorithm to solve the problem to find the shortest path to travel.

    这里我们运用蚁群算法对问题进行求解找到最短的旅行路径。

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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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  • Ant colony algorithm gains a wide attention for its branch calculation and fast restraining abilities.

    蚁群算法因其的分布式计算、快速收敛性能受到广泛的关注。

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  • In this paper, we review ant colony algorithm and particle swarm optimization.

    本文讨论了群集智能的两种算法,蚁群智能与微粒群智能。

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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,该算法具有许多优越的性质。

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  • It adopts 2-interchange mutation operator in ant colony algorithm to increase its ability of local search and to improve the quality of the solution.

    该算法通过在蚁群算法中引入遗传算法的2 -交换变异算子,增强了算法的局部搜索能力,提高了解的质量。

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  • Ant Colony algorithm is a novel simulated evolutionary algorithm.

    蚁群算法是一种新型的模拟仿生算法。

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  • By using the intrinsic characters of this model, we design four types of heuristic information for bid and two problem solvers: the binary ant colony algorithm and the greedy algorithm.

    因此本文针对标的本身的结构提出了四种启发式信息及两种求解器:二元蚁群算法及贪婪算法。

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  • Then, the thesis USES ant colony algorithm which is based on the elicitation of ant's feeding to solve the clustering problem.

    然后成功地将聚类问题转换成蚁群求解问题,并使用基于蚂蚁觅食启发的蚁群算法进行聚类分析。

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  • Using the idea of both ant colony optimization algorithm and particle swam optimization algorithm, a continuous domains ant colony algorithm for solving constrained optimization problem was proposed.

    借鉴蚁群优化算法和粒子群优化算法的思想,提出了一种用于求解约束优化问题的连续域蚁群算法。

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  • An adaptive parallel ant colony algorithm is presented by considering the critical factors influencing the parallelization of the ant colony algorithm.

    本文根据影响并行蚁群算法性能的关键因素,提出了一种自适应的并行蚁群算法。

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  • Also this paper discusses the basic method of ant colony algorithm to optimize PID control parameter.

    探讨了遗传算法优化PID参数的基本方法,着重研究了改进遗传算法的PID控制优化。

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  • Ant Colony Algorithm (ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of daumone.

    蚁群算法是受自然界蚂蚁觅食过程中,基于信息素的最短路径搜索食物行为启发,提出的一种智能优化算法。

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  • Power system restoration; Over-voltage prediction; Node importance; Ant Colony algorithm; Skeleton - network reconfiguration; Load recovery.

    电力系统恢复;过电压预测;节点重要性;蚁群算法;网架重构;负荷恢复。

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  • To build a rational grid network, this paper analyzed several grid framework optimization methods especially the ant colony algorithm and regradation step-by-step algorithm.

    为了构建一个合理的电网网架,本文对现有的网架优化方法进行了研究,重点分析了逐步倒推法和蚁群算法。

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  • An improved ant colony algorithm is presented to seek out the most possible collapse path after the collapse path is defined.

    而且定义了系统最大崩溃路径,并且提出了一种求解系统最大崩溃路径的蚁群算法。

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  • We use the projection pursuit model based on the improved ant colony algorithm to analyze the status of the water quality of the Dongting Lake in 2001.

    在对洞庭湖的水质状态进行分析时,运用基于改进蚁群算法的投影寻踪评价模型对其2001年的水质状态进行评价。

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  • An equal division point ant colony algorithm (EDPACA) was proposed to solve the swarm-robot mission planning problem.

    提出了一种求解群集机器人协作任务规划问题的均分点蚁群算法(EDPACA)。

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  • To improve the precision and efficiency of rolling force prediction on tandem cold rolling mill, a neural network model combined with ant colony algorithm is presented.

    为提高冷连轧机轧制力的预报精度和预报速度,用蚁群算法和神经网络相结合的方法进行轧制力预报模型设计。

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  • In response to this phenomenon, this paper describes the principle of ant colony algorithm and algorithm implementation process.

    针对这个现象,本文首先介绍了蚁群算法的原理及算法实现过程。

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  • Ant colony algorithm is one of the simulation evolution algorithms, when mining the visiting pattern of the special crowd interested in, the pattern we got can be objective a.

    蚁群算法是一种模拟进化算法,在挖掘特定用户群感兴趣的访问模式时,采用蚁群算法得到的模式会比较客观准确。

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  • Ant colony algorithm is one of the simulation evolution algorithms, when mining the visiting pattern of the special crowd interested in, the pattern we got can be objective a.

    蚁群算法是一种模拟进化算法,在挖掘特定用户群感兴趣的访问模式时,采用蚁群算法得到的模式会比较客观准确。

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