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4下载:
这个压缩包是微粒群优化算法(PSO)工具-MATLAB箱源代码。,The compressed packet is the source code of Particle Swarm Optimization (PSO) instrument of MATLAB.
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粒子群优化算法结合灰色模型进行电力市场的预测,自己编写的源代码,使用标准粒子群算法,Particle swarm optimization algorithm combined with a gray model forecast of the electricity market, I have written the source code, using the standard particle swarm optimization
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粒子群优化算法用于天线阵列方向图综合,自己编写的源代码,使用标准粒子群优化算法,Particle swarm optimization algorithm for antenna array pattern synthesis, I have written the source code, using the standard particle swarm optimization algorithm
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粒子群算法在排列组合问题中的应用,源程序,matlab下编写,Particle swarm optimization problems in permutation and combination of applications, source code, matlab, prepared
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我个人收集的各类智能算法,共有20多个源代码,包括:遗传算法,蚁群算法,粒子群算法,微分进化算法,遗传神经网络算法,粒子群SVM算法,粒子群神经网络算法等混合算法-I collect all kinds of intelligent algorithms, a total of more than 20 source code, including: genetic algorithms, ant colony optimization, particle swarm optimization,
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粒子群算法讲解及matlab优化算法源码
说明详细 运行方便-Particle Swarm Optimization Algorithm on the matlab source code and detailed operation of the convenience that
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采用遗传微粒群算法(GPSO)求解旅行商问题(TSP)的源代码。内附多个算例,本算法对于中小规模问题求解效率很高,对于大规模问题则效率略低。如有任何疑问,请于http://2shi.phphubei.com.cn/index.php发帖询问。-Genetic Particle Swarm Optimization (GPSO) for Traveling Salesman Problem (TSP) of the source code. Containing a number of examp
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北京大学计算智能研究室几位计算智能教授的辛苦结晶,包含粒子群算法源代码,PPT文档说明,十五个典型的测试函数,算法注释详尽,简明扼要,是难得的粒子群算法学习材料-Institute of Computational Intelligence Computational Intelligence Research Laboratory Professor of several hard crystal that contains the source code for Particle Swarm
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基本粒子群优化算法的matlab源代码,简单易懂,比较实用-Particle Swarm Optimization algorithm matlab source code, easy to understand and more practical
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带交叉因子的粒子群优化算法matlab源程序.doc-With cross-factor particle swarm optimization algorithm matlab source code. Doc
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免疫粒子群算法的matlab源代码,自己设置优化函数-Immune particle swarm algorithm matlab source code, set up their own optimization function
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粒子群算法优化RBF网络,有相关解释,matlab源码!可以跑通(Particle swarm optimization RBF network, there are relevant explanations, matlab source code! You can run through.)
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