搜索资源列表
pso2
- 粒子群比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(It is more simple than the genetic algorithm rule. It doesn't have the crossover (Crossover) and the Mutati
粒子群优化算法（PSO）应用于神经网络优化程序
- 粒子群算法优化BP神经网络，使用matlab平台实现，解决了BP神经网络速度较慢的问题(Particle swarm optimization (PSO) optimization of BP neural network)
PSOfirst
- 用多目标粒子群算法求解0-1规划问题，注释详细，适合新手学习(Solving 0-1 programming problems by genetic algorithm)
PSOmain
- 程序主要是用于解决TSP问题的粒子群算法，包括粒子群算法的步骤(The program is mainly a particle swarm algorithm for solving TSP problems, including the steps of the particle swarm algorithm)
粒子群算法
- 粒子群算法解决背包问题，matlab环境实现c流程(Particle swarm algorithm to solve knapsack problem, matlab environment to achieve C process.)
TSP_PSO
- 基于混合粒子群算法的tsp问题求解的MATLAB程序。(Solution of TSP problem based on Hybrid Particle Swarm Optimization)
Particle Swarm Optimization
- 优化算法的一种，粒子群寻优算法。它的基本核心是利用群体中的个体对信息的共享从而使得整个群体的运动在问题求解空间中产生从无序到有序的演化过程，从而获得问题的最优解。(a kind smart mathema algorithm____Particle Swarm Optimization)
pso_Trelea_vectorized
- 粒子群算法MATLAB程序,求解优化问题。(Particle swarm optimization (PSO) MATLAB program)
matlab代码
- 该代码是基于粒子群算法优化的支持向量机，适用于分类问题(The code is based on particle swarm optimization support vector machine, suitable for classification problem.)
BPSO for feature selection
- 二进制粒子群算法（Binary particle swarm optimization algorithm，BPSO）解决特征选择问题。(Binary particle swarm optimization algorithm for feature selection problem)
多目标进化+多目标粒子群优化代码
- 多目标粒子群优化，多目标进化算法，两种方法能够有效的解决复杂的优化问题(optimization based on intelligent swarm)
83390062chengxu
- 利用matlab语言和软件采用粒子群优化算法解决电力系统无功优化问题(Using MATLAB language and software to solve reactive power optimization problem in power system by particle swarm optimization)
gapso
- 在求解装备的资源约束型装配线一类平衡问题时，借助遗传算法和粒子群算法，并对遗传算法和粒子群算法进行改进，利用matlab程序进行优化求解。(The type 1 assembling line balancing problem for certain equipment is sovled with modified genetic-particle swarm optimization algorithm by using matlab languge.)
getparamsbyN
- 在求解装备的资源约束型装配线一类平衡问题时，借助遗传算法和粒子群算法进行优化求解，并对遗传算法和粒子群算法进行改进，利用matlab程序进行优化求解。(The type 1 assembling line balancing problem with resource constrained for certain equipment is sovled with modified genetic particle-swarm algorithm by using matlab languge
simulation
- 在求解装备的资源约束型装配线一类平衡问题时，借助遗传粒子群算法进行优化求解，并对遗传粒子群算法进行改进，利用matlab程序进行优化求解。本次结果是进行仿真的结果。(When solving the resource-constrained assembly line balance problem of equipment, the genetic particle swarm optimization algorithm is used to optimize the solution, a
粒子群优化1
- 应用于解决Python语言中的粒子群优化问题，包含输出最大最小(Particle swarm optimization)
PSO
- 采用粒子群算法求解多目标优化问题，有注释(Using particle swarm optimization to solve multi-objective optimization problems with annotations)
粒子群算法
- 用MATLAB编程 利用粒子群算法解决旅行商问题
粒子优化群算法进行配电网络重构
- 配电网网络重构是配电系统极为重要的优化手段.以配电网网损最低为目标函数,结合约束条件确定配电网静态重构的数学模型,提出基于环路编码、分环替代的策略对配电网重构问题进行求解,最后结合IEEE-33节点算例,证明提出的算法,在降低搜索空间,提高寻优成功率和增加寻优效率上都有突出表现.(Distribution network reconfiguration is a very important means of optimization in distribution system. Taking
PSO算法
- 粒子群算法求解标准VRP问题，带有十个小型算例，可运行，适合新手学习。(Particle swarm optimization (PSO) is used to solve the standard VRP Problem, with ten small examples, which can be run, and is suitable for novice learning.)