Description: 这是一个pso程序源代码，pso源于对鸟群捕食行为的研究而发明的进化计算技术，属于进化算法的一种。
优点：收敛速度快，具有全局寻优能力，而且编程简单，易于推广使用。 -This is a pso source code, pso out of the flock of predatory behavior and evolutionary computation invention of the technology is an evolutionary algorithm. Advantages : fast convergence with global optimization capability and programming simple and easy to use. Platform: |
Size: 12288 |
Author:张清 |
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Description: 微粒群算法的课程用ptt,内有学习PSO的课用流程,相信想学习的您,不会错过-Particle Swarm Optimization courses with ptt, there are study classes with PSO flow, I believe you want to study, not to miss Platform: |
Size: 152576 |
Author:蔡立宗 |
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Description: 微粒群算法的电子书，本书是由太原科技大学曾建潮教授等人编写的，比较系统的阐述了当前微粒群优化方面的研究成果和进展。-Particle Swarm Optimization of e-books, this book is written by Taiyuan University of Science and Technology Professor Zeng Jianchao and others prepared to compare the current system on the particle swarm optimization research results and progress. Platform: |
Size: 1999872 |
Author:苗彦江 |
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Description: 粒子群算法与支持向量机的结合，用粒子群算法快速寻找支持向量机的最优参数。-Particle swarm optimization with support vector machines with particle swarm optimization with support vector machines quickly find the optimal parameters. Platform: |
Size: 1024 |
Author:海廷 |
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Description: 用Java实现的进化算法包。包括遗传算法、粒子群算法、memetic算法和进化策略算法。-evolutionary-algorithm
Evolutionary Algorithm package implemented using Java.
The package serves as a foundation class library, supporting the implementation many variants of Evolutionary Algorithms, currently including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Memetic Algorithm (MA), Evolution Strategy (ES).
Highlighted features
· Support both binary & real-coded string representations of solution
· Operator-based design for flexibility
· EA Operators: Selection, Crossover, Mutation, Move operators in PSO & and the adaptive scheme in EA
· Individual learning: Davidon–Fletcher–Powell (DFP) and Davies, Swann, and Campey with Gram-Schmidt orthogonalization (DSCG) strategies and Random Mutation Hill-climbing (RMHC)
In addition, algorithm pipeline which is specified by XML file is also provided for practitioner to configure & design evolutionary algorithms at ease. User can edit runtime & algorithm parameters in the configuration file (XML) & issue the co Platform: |
Size: 104448 |
Author:陈雷 |
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Description: 小生境粒子群算法例子，对学习粒子群算法及很好的理解该算法非常有用-Examples of niche PSO, particle swarm optimization algorithm for learning and a good understanding of the algorithm is very useful! ! ! Platform: |
Size: 1024 |
Author:何志军 |
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Description: matlab 遗传算法GA，粒子群算法PSO,蚁群算法AS
前段时间上智能计算方法实验课上，自己做的程序。帖到这里，希望有人能改进它们，交流经验这样更有价值。
遗传算法解决最小生成树问题，PURFER编码。
粒子群算法做无约束最优化问题。
蚁群算法解决TSP问题。
如果有宝贵经验希望能交流一下，谢谢，-matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm for calculation of AS some time ago on the intelligent test classes, make their own procedures. Quote here, hope someone can improve them, and exchange of experience which is more valuable. Genetic algorithm to solve the minimum spanning tree problem, PURFER coding. Particle swarm optimization to do unconstrained optimization problem. Ant colony algorithm to solve the TSP problem. If there is hope to exchange our experience, thank you, He He Platform: |
Size: 5120 |
Author:stephen |
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Description: This an implementation of Particle Swarm Optimization algorithm using
the same syntax as the Genetic Algorithm Toolbox, with some additional
options specific to PSO. Allows code-reusability when trying different
population-based optimization algorithms. Certain GA-specific parameters
such as cross-over and mutation functions will not be applicable to the
PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox.-This is an implementation of Particle Swarm Optimization algorithm using
the same syntax as the Genetic Algorithm Toolbox, with some additional
options specific to PSO. Allows code-reusability when trying different
population-based optimization algorithms. Certain GA-specific parameters
such as cross-over and mutation functions will not be applicable to the
PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox. Platform: |
Size: 4096 |
Author:Chris Leung |
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Description: 用粒子群算法优化RBF网络权值，根据适应度值对个体最优和群体最优进行更新-Particle Swarm Optimization with RBF network weights, according to the best fitness value of individuals and groups to update the best Platform: |
Size: 1024 |
Author:天涯 |
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Description: 基于对粒子群优化算法原理的分析，实现了一种基于TSP的改进的粒子群优化算法：求解TSP的混合粒子群算法，结合遗传算法、蚁群算法和模拟退火算法的思想来解决TSP问题。-Particle swarm optimization based on the principle of the analysis, implemented based on TSP, improved particle swarm optimization algorithm: solving the TSP hybrid particle swarm algorithm and genetic algorithm, ant colony algorithm and simulated annealing algorithm to solve the TSP problem the idea. Platform: |
Size: 633856 |
Author:durongmao |
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Description: 某些实际问题的优化目标是求所有的局部最优解, 即求解多峰寻优问题, 为了求解多峰优化问题, 提出了改造的微粒
群优化算法. 尽量减少微粒群算法中的全局因素, 从而增大其局部因素, 同时采用变步长方法增加微粒的多样性. 并给出了该算法
的原理和步骤. 仿真实验表明该算法概念清楚, 计算简单, 具有很好的局部寻优特性, 可应用求解于多峰寻优问题. 另外还给出了几
个运算实例和与其它优化算法的比较.-Some of the practical problems the optimization goal is to get all the local optimal solution, that is, solving the multimodal optimization problem, in order to solve the multimodal optimization problem, a modified particle swarm optimization algorithm. PSO algorithm to minimize the global factors thereby increasing the local factors, while increased use of variable step method for the diversity of particles. and gives the principles and steps of the algorithm. Simulation results show that the algorithm is the concept of clear, simple calculation, with good local search features can be applied to solve the multimodal optimization problem. It also gives examples of several operations and with other optimization algorithms. Platform: |
Size: 312320 |
Author:赵 |
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Description: 本算法为用遗传算法改进粒子群GA-PSO算法，附带含有程序使用说明。(This algorithm uses genetic algorithm to improve particle swarm optimization GA-PSO algorithm, with instructions for the use of the program.) Platform: |
Size: 122880 |
Author:1/2 |
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Search - optimization with PSO