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人工鱼群算法MATLAB实现的程序,经改进后可用于实际工程问题.,MATLAB realization of artificial fish-swarm algorithm of procedures can be improved for practical engineering problems.
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根据人工鱼群算法的基本原理,求解一个函数值的最优解;,According to the basic principles of artificial fish-swarm algorithm, solving a function value of the optimal solution
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人工智能/神经网络 用C++编写的人工鱼群算法-Artificial Intelligence/Neural Networks with C++ Prepared artificial fish-swarm algorithm
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改进的人工鱼群算法,优化后实现,可视化。-Improved artificial fish-swarm algorithm, optimized to achieve, visualization.
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一个试卷自动生成的利用人工鱼群算法的程序,用Visual c++缩写-An examination of the use of automatic generation of artificial fish-swarm algorithm procedure, using Visual c++ acronym
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人工鱼群算法是一种寄予动物行为的自治体寻优模式。-Artificial fish-swarm algorithm is a kind of animal behavior have great self-governing body optimization model.
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此为人工鱼群算法,用C++实现,效率较高-This is the artificial fish-swarm algorithm, using VC implementation, more efficient
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鱼群算法中非常关键的程序,可以求解非线性方程-artificial fish swarm algorithm for solving nonlinear equations
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人工鱼群算法的实现代码,有效处理优化寻优问题,比遗传算法具有更好优化效果-Artificial fish swarm algorithm code to deal effectively optimize the optimization problem, with better optimization results than the genetic algorithm
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人工鱼群算法是一种基于行为的人工智能思想,通过鱼在水里的行为方式模拟构建了一种鱼群模式,用来解决寻优问题-Artificial fish swarm algorithm is a behavior-based artificial intelligence thinking to build a fish model, simulate the behavior of fish in the water, used to solve the optimization problem
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基于人工鱼群算法的PID参数优化设计,讲述人工鱼群算法的PID参数-PID parameters based on artificial fish swarm algorithm to optimize the design, about the artificial fish school algorithm of PID parameters
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在一片水域中,鱼往往能自行或尾随其他鱼找到营养物质多的地方,因而鱼生存数目最多的地方一般就是本水域中营养物质最多的地方,人工鱼群算法就是根据这一特点,通过构造人工鱼来模仿鱼群的觅食。-In the midst of the waters, the fish are often on their own or trailing other fish to find places with more nutrients, and therefore the fish survive the larg
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提出了一种双域模型人工鱼群算法。算法采用前驱节点指向的编码方法形成多播树表示人工鱼,将搜索
空间分为可行域和非可行域。分别赋予可行域和非可行域的人工鱼不同的游动目标,设计行为算子自适应地执行
4 种人工鱼行为。数值实验结果表明,提出的算法可以有效利用非可行个体,具有较好的求解时延约束最小代价
多播树的性能。-An artificial fish swarm algorithm with two regions model was proposed. The algor ithm us
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:仿生优化算法是模拟自然界中生物行为的随机搜索算法,可以用来解决现实中的许多优化问题。简要介绍了目前比
较流行的四种新型仿生优化算法(蚁群算法、微粒群算法、人工免疫算法以及人工鱼群算法)的基本原理;然后深入分析了这
些仿生优化算法的异同之处-Bionic optimization algorithms aye stochastic search methods that mimic the natural biological behavior
of species.They age
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提出了一种基于生境人工鱼群算法的多峰问题优化算法.该算法融合了模拟退火、小生境技术的思想,并加入了变异算子和自动生成合适小生境半径机制-Since it is difficult to find all the optima when artificial fish SWalTn algorithm(AFSA)is used in multimodal
optimization.a niche artificial fish swalTn algorithm(NAFSA)based on b
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智能算法:神经网络,极限学习机,遗传算法,粒子群算法,蚁群算法,鱼群算法,人工免疫算法-Intelligent algorithms: neural networks, Extreme Learning Machine, genetic algorithm, particle swarm optimization, ant colony algorithm, fish swarm algorithm, artificial immune algorithm
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使用了缩短视野和步长的改进人工鱼群算法,对于学习人工鱼群算法的人们很有帮助!-Use a shorter step length vision and improved artificial fish swarm algorithm for learning AFSA helpful people!
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基本人工鱼群算法在tsp问题中的应用,可以运行,很不错!-Basic artificial fish swarm algorithm tsp problems in the application, you can run, very good!
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人工鱼群算法及其应用源码,经测试成功运行。可对照《人工鱼群算法及其应用》学习。-Fish (Swarm Algorithm AFSA, Artificial) is a kind of swarm intelligence bionic energy optimization algorithm, which is proposed by Dr. Li Xiaolei in 2002. The algorithm gives the artificial fish vision, smell,
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人工智能鱼群算法,非常好的一个基础的代码,萨达十大沙发沙发上(Artificial intelligence fish swarm algorithm)
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