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tinyos 蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。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.针对PID控制器参数优化设计问题,将蚁群算法设计的结果与遗传算法设计的结果进行了比较,数值仿真结果表明,蚁群算法具有一种新的模拟进化优化方法的有效性和应用价值-The tinyos
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蚁群算法优化程序，可以优化数据 用于故障诊断-Ant Colony Algorithm optimization program can optimize data for fault diagnosis
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基于蚁群算法的高校排课系统优化策略
蚁群算法 课表优化-University Course Scheduling Based on Ant Colony Optimization Strategies Ant Colony Algorithm Optimization Timetable
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蚁群优化算法，目前已通过vc++6.0测试，实验数据需自备-Ant colony optimization algorithm, has passed vc++6.0 test, the experimental data must bring their own
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智能优化算法程序代码的集锦，包括了蚁群算法等-Intelligent optimization algorithm highlights of the program code, including the ant colony algorithm
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基于蚁群算法进行路径规划，原创，可以自己设置路径测试-Ant colony algorithm for path planning, original, you can set up their own path testing
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这是介绍基于蚁群优化算法的碎纸拼接的文章-This is to introduce ant colony optimization algorithm shredding stitching articles
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蚁群优化算法的JAVA实现,说明：算法只是提供了一个框架。-Ant colony optimization algorithm JAVA, Descr iption: algorithm only provides a framework for
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基于蚁群算法、dijkistra算法障碍物避碰路径寻优的算法-Ant colony algorithm, dijkistra obstacle avoidance algorithm path optimization algorithm
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蚁群算法优化PID控制器,采用三种评价指标函数IAE、ITAE、ITSE来进行对比分析.-Ant colony optimization algorithm PID controller, using three evaluation function IAE, ITAE, ITSE for comparative analysis.
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一种简单的蚁群算法优化bp神经网络隐含层的算法-A simple ant colony algorithm optimization bp neural network algorithm hidden layer
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ant colony optimization with genetic algorithm matlab code
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利用改进的蚁群算法，寻找最优路径，优化了算法运行时间-The use of improved ant colony algorithm to find the optimal path optimization algorithm running time
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蚁群算法的TSP路径优化程序，程序运行良好。-TSP path ant colony algorithm optimization program, the program runs well.
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包括优化算法源程序及算法原理介绍。自适应协方差矩阵进化策略，一种2000年左右发展起来的新优化算法，简称CMA-ES，最近十几年得到了学术界的广泛关注，非常有应用前景。这是一种黑箱子优化算法，可以再程序末自己定义优化函数，也可以调用外部程序（如有限元等）进行计算，然后提取优化函数的解。该优化算法在各种变量维度下的表现优于蚁群算法、粒子群算法，有较好的收敛性，这归功于其严谨的数学表达。-Covariance matrix adaptation evolution strategy, about o
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TSP优化——蚁群算法的优化计算 例题及源代码-TSP Optimization the optimization of ant colony algorithm
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智能算法，益群和布谷鸟算法解决非线性优化等问题-Intelligent algorithm, ant colony algorithm and cuckoo algorithm to solve nonlinear optimization and other issues
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The ant colony algorithm is dedicated to solving TSP problem, optimization efficiency and robustness is very good-The ant colony algorithm is dedicated to solving TSP problem, optimization efficiency and robustness is very good,,
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通过蚁群算法实现路径优化，启发路径优化新方式。(Through the ant colony algorithm to achieve path optimization, heuristic path optimization new way.)
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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.
This algorithm is a member of the a
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