搜索资源列表
liziqun
- 粒子群算法的基础源代码，可有效解决背包问题。-Particle swarm algorithm based on the source code, which can effectively solve the knapsack problem.
hunheliziqun
- 混合粒子群算法的基础源代码，可有效解决旅行商问题（TSP）。-Hybrid PSO algorithm based on the source code, which can effectively solve the Traveling Salesman Problem (TSP).
lzqtps
- 本算法通过粒子群交叉寻优，解决TSP旅行商问题，可以直接运行。-This cross by PSO optimization, solve TSP traveling salesman problem, you can run directly.
PSO
- 粒子群算法是解决TSP问题的一种运算速度较快的算法，但是对于城市点数量过多则往往会失效-Particle Swarm Optimization (PSO) is a fast algorithm to solve TSP problem, but it is often ineffective when the number of city points is too large
pso-beibao
- 粒子群算法解决背包问题，程序完整并能正确运行-Particle swarm algorithm to solve knapsack problem
pso
- 粒子群算法解决简单的优化问题 可以看出w的改变对其的影响-Pso
liziqunsuanfa
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等[1] 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“变异”(Mutation) 操作，它
tsp
- 粒子群算法求tsp问题，能得到很好的解，可以供初学者使用-Particle swarm algorithm for tsp problem, get a good solution, you can use for beginners
PSO
- 粒子群算法优化函数，得到问题的最优解问题。算法非常稳定计算掉落包看到-Particle swarm optimization function to obtain the optimal solution of the problem. Calculation algorithm is very stable package see Drop
PSOtsp
- 粒子群算法解决TSP问题matlab源代码-Particle swarm algorithm to solve TSP problem
MoPSO
- 多目标粒子群算法,解决多目标问题，实用性比较广，测试可以运行-Multi-objective particle swarm optimization, multi-objective problem solving, practical and broad, tests can be run
pos
- 改进后的粒子群算法，可用于求解规划问题，路径问题和相关多目标组合优化问题-The improved particle swarm optimization (pso) algorithm, can be used to solve the planning problem, the routing problem and the relevant multi-objective combinatorial optimization problem
mapso
- 粒子群算法，基于智能体粒子群算法与粒子群算法在解决电力分配上问题的对比图像-Particle swarm optimization algorithm
zuiyouhua
- 基于modelcenter和粒子群算法MATLAB最优化解决装箱问题。包含代码、模块、PPT、课程论文-Based on MATLAB modelcenter and particle swarm optimization to solve the packing problem. It contains code modules, PPT, course papers
PSO
- 粒子群优化算法的具体示例代码,可以很好的解决和描述连续寻优问题-PSO is a specific example of code that can be a good solution to the problem and describe the continuous optimization
PSO11-20121026
- 粒子群优化算法的示例代码，可以很好解决连续性寻优问题-PSO sample code, can be solved continuous optimization problem
matlabPSO
- 提出了一种新的多目标粒子群优化(MOPSO)算法，该算法采用自适应网格方法来估计非劣解集中粒子的密度信息、平衡全局和局 部搜索能力的 Pareto 最优解的搜索机制、删除品质差的多余粒子的 Archive 集的修剪技术。通过对三峡梯级多目标优化调度问题的计算， 表明该算法是求解大规模复杂多目标优化问题的一种有效手段。-A new multi-objective particle swarm optimization(MOPSO) is proposed. The proposed alg
Particle_Swarm_Optimization
- 粒子群优化解决实际问题的方法，带有约束条件的，供大家参考学习-Particle Swarm Optimization to solve practical problems, with constraints, for your reference study
TSP-pso
- 自适应离散粒子群算法求解TSP问题，包含有三个基本实例，其中含扰动变量可防止陷入局部最优-Adaptive particle swarm optimization for TSP, contains three basic example, which prevents the disturbance variable containing local optimum
HPSO
- 混合粒子群算法求解中国31个城市的TSP问题-Hybrid Particle Swarm Optimization for solving the TSP problem of 31 cities in China