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针对现有遗传算法在多维非线性优选方面的不足,本文提出了一种基于小生境进化算法(NEA)的非线性优选模型,探讨了NEA算法的参数选择原则。通过大量仿真和比较,表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点,并能在全局范围内有效搜索所有最优解。
-against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a ni
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为求解大规模TSP 问题, 提出了并行人工免疫系统的塔式主从模型(TMSM), 和基于TMSM 的并行免疫记忆克隆选择算法(PIMCSA) TMSM
是粗粒度的两层并行人工免疫模型, 其设计体现了分布式的免疫响应和免疫记忆机制. PIMCSA 用疫苗的迁移代替了抗体的迁移, 兼顾了种群多样性的保持和算法的收敛速度. 与其他算法相比, PIMCSA 在求解精度和运行时间上都更具优势, 而且问题规模越大优势越明显. TMSM 很好地体现了免疫系统的特性, PIMCSA 是适合求解大规模复杂优化问
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遗传算法是1962年由美国Michigan大学的Holland教授提出的模拟自然界遗传机制和生物进化论而形成的一种并行随机搜索最优化方法[1-3],
在自动控制领域中得到了越来越广泛的应用。该文引入了“稳定区域算法”求取闭环系统稳定的PID控制器参数区间,并以此算法的计算结果限定进
化算法的参数寻优区间,通过仿真试验取得了令人满意的控制效果。-Genetic Algorithms is proposed by the University of Michigan’s Professor
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结合经典PID理论和遗传算法,设计遗产算法PID系统,并进行仿真-Combination of theory and genetic algorithms classical PID, PID algorithm design legacy systems, and simulation
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ICA Clustering
In computer science, Imperialist Competitive Algorithm (ICA)[1] is a computational method that is used to solve optimization problems of different types. Like most of the methods in the area of evolutionary computation, ICA does n
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针对传统的算法如遗传算法、粒子群算法等在TSP问题上求解精确性和求解规模上都还有一定的不足,本文提出了一种基于动态规划思想的粒子群优化算法。该算法用动态规划的方法实现粒子间的信息交互和粒子的进化,并且将粒子群中的粒子按无标度信息指导网络拓扑图的方式进行连接。仿真结果表明该方法能有效地减小误差率,提高解的精确,同时还保持了较低的计算复杂度,具有良好的稳健性。-TSP problem solving for the traditional algorithms such as genetic alg
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利用MATLAB编程实现遗传算法,并结合一维多峰值函数对算法性能进行了测试,在MATLAB环境中采用遗传算法有效地解决了求解函数的优化问题,仿真结果验证了该算法的有效性,图像直观,性能优越,为遗传算法的实际应用开辟了新的途径和渠道。-Genetic algorithms using MATLAB programming, combined with a function Victoria Peak performance of the algorithm was tested in the MA
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Flower pollination is an intriguing process in the natural world. Its evolutionary
characteristics can be used to design new optimization algorithms. In this paper, we
propose a new algorithm, namely, flower pollination algorithm, inspired by the
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遗传算法模拟达尔文进化自然选择和遗传机制的生物进化过程的计算模型-enetic algorithm simulation Darwin the evolution natural selection and genetic mechanism of biological evolution process calculation model
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文件包含遗传算法,神经网络算法仿真,模糊PID算法等仿真,仿真结果电子文档,分析详细,所得结果都有截图。-Files contain genetic algorithms, neural network algorithm simulation, fuzzy PID algorithm simulation results of electronic documents, detailed analysis, the results have screenshots.
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用MATLAB编写的遗传算法路径规划,基于掌纹识别的在线身份验证 识别算法本科毕设,三相光伏逆变并网的仿真。- Genetic algorithms using MATLAB path planning, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Three-phase photovoltaic inverter and ne
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仿真图是速度、距离、幅度三维图像,一种流形学习算法(很好用),用MATLAB编写的遗传算法路径规划。- FIG simulation speed, distance, amplitude three-dimensional image, A fluid manifold learning algorithm (good use), Genetic algorithms using MATLAB path planning.
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各种资源分配算法实现,合成孔径雷达(SAR)目标成像仿真,用MATLAB编写的遗传算法路径规划。- Various resource allocation algorithm, Synthetic Aperture Radar (SAR) imaging simulation target, Genetic algorithms using MATLAB path planning.
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用MATLAB编写的遗传算法路径规划,用于建立主成分分析模型,这是一个好用的频偏估计算法的matlab仿真程序。- Genetic algorithms using MATLAB path planning, Principal component analysis model for establishing, This is a useful frequency estimation algorithm matlab simulation program.
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仿真效果非常好,独立成分分析算法降低原始数据噪声,用MATLAB编写的遗传算法路径规划。- Simulation of the effect is very good, Independent component analysis algorithm reduces the raw data noise, Genetic algorithms using MATLAB path planning.
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This program has exceeded the performance of other algorithms, Genetic algorithms using MATLAB path planning, cordic matlab simulation algorithm.
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机器人避障航路规划蚁群算法MATLAB仿真代码合集,里面有17个关于机器人自动避障的算法,和无人机航路规划代码,还有蚁群遗传因子算法的具体MATLAB仿真代码,A*算法,RTT算法等很适合做数学建模比赛使用。(There are 17 algorithms of robot automatic obstacle avoidance, UAV route planning code, and the specific matlab simulation code of ant colony gen
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