搜索资源列表
TSP-based-on-improved-pso
- 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 pa
swarm
- 非线性约束优化问题的混合粒子群算法Nonlinear constrained optimization algorithm for hybrid particle swarm-Nonlinear constrained optimization algorithm for hybrid particle swarm
PSO
- 粒子群算法，用于函数优化问题，也可以求得最短路等问题。-Particle Swarm Optimization
123
- 基于双适应度的粒子群算法，采用matlab编程，收敛效果好，可用于求解最优潮流等电力系统优化问题！-Based on the fitness of the two-particle swarm optimization using matlab programming, convergence effect, and can be used to solve power system optimization such as optimal power flow problem!
粒子群算法实现路径规划的问题比较实用的代码
- 粒子群算法实现路径规划的问题比较实用的代码而且已经运行成功非常珍贵的资料-Particle swarm algorithm of path planning problem is more practical code and have run very precious material success
NSGA
- matlab编写的基于粒子群优化算法的多目标优化，可以处理电力系统优化问题-matlab write PSO-based multi-objective optimization, can handle the power system optimization problems
采用粒子群算法，有效解决车辆路径优化问题
- VRP的实现，采用粒子群算法，有效解决车辆路径优化问题-VRP realization using particle swarm effective solution to the VRP
GAaPSO
- 遗传-粒子群算法 PSO-GA算法 解决多目标优化算法问题，针对最优解求解可得到更好的解，接近最优的目标值。(Genetic algorithm (PSO) PSO-GA algorithm is used to solve the multi-objective optimization problem, and the better solution is obtained for the optimal solution, and the near optimal target valu
PSO-TSP
- 利用粒子群优化算法求解100个城市的路径优化问题(Particle swarm optimization algorithm is used to solve the routing problem of 100 cities)
tsp_pso
- 基于JAVA语言，使用粒子群算法求解旅行商(TSP)问题(Using particle swarm optimization (pso) algorithm to solve the traveling salesman problem)
PSO solve JSP
- 用粒子群算法求解车间调度问题，包含甘特图的制作程序(Particle swarm optimization algorithm for job shop scheduling problem, including Gantt chart)
pso
- 用粒子群优化算法求解函数最大值问题，有收敛曲线图，自己编的程序，附带一个常用的函数(Particle swarm optimization algorithm to solve the problem of maximum function, a convergence curve)
demo5
- 基于粒子群算法的多目标搜索算法：多种求解多目标优化问题的方法(Multi objective search algorithm based on Particle Swarm Optimization: a variety of methods for solving multi-objective optimization problems)
tsppso
- 用混合粒子群算法解决tsp问题，避免陷入局部最优解(Using PSO algorithm to solve TSP problem)
PSO
- 基于量子的粒子群优化算法,该算法通过粒子群有量子的行为，提高了算法的寻优能力，增强了算法的全局搜索能力，有效的避免了“早熟”问题。(Quantum based particle swarm optimization algorithm.The algorithm improves the searching ability of the algorithm by quantum behavior of particle swarm, and enhances the global searchi
PSO for 3 Models
- 粒子群算法对解决二次规划、旅行商问题、背包问题等源程序(Particle swarm algorithm to solve the secondary planning, traveler problems, backpack problems and other source code)
PSO
- 利用MATLAB 实现粒子群算法的工具箱，帮助大家在对粒子群算法了解不多的情况下学习粒子群算法并能灵活应用解决实际问题。(A toolbox that can help us use particle swarm optimization,which enables us to learn and use particle swarm optimization to solve actual problems on the condition that we know little about
PSO
- 运用的粒子群算法解决TSP问题，迭代次数1000次，效果较好(The use of particle swarm algorithm to solve the TSP problem, the number of iterations 1000 times better)
QPSO
- 量子粒子群优化算法以量子力学原理为基础，用波函数描述粒子的运动状 态，通过测量操作引导粒子搜索全局最优解。量子系统的不确定性决定了粒子能够以一定的概率出现在整个可行域内，克服了粒子群优化算法因为粒子速度的限制， 使粒子只能限定在某个局部区域的问题。(Quantum particle swarm optimization (QPSO) algorithm is based on the principle of quantum mechanics. The wave function is use
liziqun
- 粒子群算法，也称粒子群优化算法或鸟群觅食算法(Particle Swarm Optimization)，缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的"交叉"(Crossover) 和"