Search - pso-fitness

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[Mathimatics-Numerical algorithms] psotb-beta-0.3 DL : 0: 推荐一下老外的工具箱psotb-beta-.3，如果你是初学者，头一次用这个工具箱,你可以直接运行pso.m文件。这个程序会优化默认的函数DeJong即超球体函数。如果想优化自己定义的函数，就照例子写适应度函数，改参数设置，参数设置可以在 get_psoOptions.m内改-Recommended about foreigners Toolbox psotb-beta-.3, if you are a beginner, the first time using this toolbox, you can directly run pso.m document. This process will optimize the default function that is ultra-spherical function DeJong. If you want to optimize their own definition of function, according to examples of writing on the fitness function, changing parameter settings, parameter settings can be changed within get_psoOptions.m
Date : 2025-12-26 Size : 60kb User : 刘洋
[Mathimatics-Numerical algorithms] pso_goldstein_ DL : 0: 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 code using C++ preparation 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 : ke
[Mathimatics-Numerical algorithms] 13 DL : 0: 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发-Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori
Date : 2025-12-26 Size : 6kb User : hhhh
[Mathimatics-Numerical algorithms] PSO DL : 0: 这段代码主要功能是，粒子群基本算法的实现，设置适应度函数就可以使用(The main function of this code is to achieve the basic algorithm of particle swarm, set the fitness function can be used)
Date : 2025-12-26 Size : 1kb User : nefu
[Mathimatics-Numerical algorithms] 粒子群优化算法 DL : 0: 粒子群优化算法（Particle Swarm Optimization，简称为PSO），粒子群算法是近年来发展起来的一种新的进化算法，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，通过适应度来评价解的品质(Particle swarm optimization algorithm (Particle Swarm Optimization, referred to as PSO), particle swarm algorithm is a new evolutionary algorithm developed in recent years, similar to genetic algorithm, it is also from the random equation through iterative search for the optimal solution, the fitness to evaluate the quality of the solution)
Date : 2025-12-26 Size : 2.25mb User : ZJN27