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很实用的群优化智能算法,计算粒子群算法的源代码,所需优化的目标函数命名为fitness即可。-a partical swarm algorithm
Date : 2025-12-26 Size : 1kb User : iop

基本pso程序,适合初学者使用,使用时直接改fitness函数。-Basic pso procedures, suitable for beginners to use, use directly change the fitness function
Date : 2025-12-26 Size : 1kb User : fang

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本代码是一种标准PSO代码(包含适应度函数)-Standard PSO code (includes fitness function)
Date : 2025-12-26 Size : 4kb User : liu qiang

标准PSO算法代码采用C++编制;注释丰富;带有测试函数;测试函数在(0,-1)处取得最小值3。编译运行通过修改优化模型即可直接用来优化你所需求解问题,本人在弹道优化方面已测试成功。代码内总共进行50次pso搜索运算,以提高算法的可靠性,迭代最大次数限制在500次以内,输出最佳适应值和取得最佳适应值时的迭代次数,平均进行每次pso运算要多少次迭代才能得到满足条件的解-Standard PSO algorithm using C++ code compiled Notes rich with test function test function in (0,-1) obtained at the minimum three. Compile and run directly by modifying the optimization model is used to optimize you need to solve the problem, I have been tested in the trajectory optimization success. A total of 50 times the code pso search operator to improve the reliability of the algorithm, the maximum number of iterations is limited to less than 500, the output value and the best fitness value to obtain the best fit of iterations, the average for each operation to the number of pso iterations to meet the conditions to get the solution ......
Date : 2025-12-26 Size : 11kb User : 任行

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该代码为基于PSO的函数极值寻优,简单易懂,获得最优个体适应度-The code for the function extremum optimization based on PSO, easy to understand, to obtain the optimal individual fitness
Date : 2025-12-26 Size : 2kb User : Jack

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粒子群优化算法Ackely函数,包括PSO.m fitness.m drawPSO.m-The particle swarm Ackely function PSO.m fitness.m drawPSO.m
Date : 2025-12-26 Size : 13kb User : 李建

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标准PSO代码,给出fitness函数即可用-Standard Particle Swarm Optimization
Date : 2025-12-26 Size : 5kb User : hejun

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根据机器人工作空间,利用粒子群算法计算关节型机器人各个机械臂尺寸,包含了目标函数,适应度函数等(According to the robot workspace, the particle swarm algorithm (PSO) is used to calculate the dimensions of each robot arm, including the objective function and the fitness function)
Date : 2025-12-26 Size : 3kb User : 柯岚

PSO算法是基于群体的,根据对环境的适应度将群体中的个体移动到好的区域。然而它不对个体使用演化算子,而是将每个个体看作是D维搜索空间中的一个没有体积的微粒(点),在搜索空间中以一定的速度飞行,这个速度根据它本身的飞行经验和同伴的飞行经验来动态调整(PSO algorithm is based on the group, according to the environment to the fitness of the individual to move to the area.However, it should not be given to individual evolution operator, but each individual as a D D without a volume of particles in search space (or points), in the search space at a certain speed, the speed according to its own flight experience and companion flight experience to dynamic adjustment)
Date : 2025-12-26 Size : 5kb User : 一狼
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