搜索资源列表
lzqyhsf
- 本程序为粒子群优化算法，可用于优化计算，能够运行。-Particle swarm optimization algorithm
PSOGSA
- 程序提出了一种基于人群混合算法，是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力-Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization
liziqun
- 粒子群优化是一种新兴的基于群体智能的启发式全局搜索算法，粒子群优化算法通过粒子间的竞争和协作以实现在复杂搜索空间中寻找全局最优点。-Particle swarm optimization is a new global search heuristic algorithm based on swarm intelligence, particle swarm optimization algorithm by particle competition and collaboration to a
fish
- c++语言实现鱼群算法，使用粒子群优化算法给出-Fish algorithm c++ language, the use of particle swarm optimization algorithm is given
PSO
- 用matlab实现的粒子群pso算法，最基础的粒子群，适合初学者-it s very easy to understand for primary
PSO_MATLAB
- PSO粒子群优化算法，实现函数优化、并行计算等功能-Particle Swarm Optimization
AsyLnCPSO
- 用学习因子异步变化的粒子群优化算法求解无约束优化问题-Using asynchronous learning factor variation of particle swarm optimization algorithm for solving unconstrained optimization problems, are helpful to you!
BreedPSO
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题-Based on cross genetic particle swarm optimization algorithm for solving unconstrained optimization problems, are helpful to you!
CLSPSO
- 用混沌粒子群优化算法求解无约束优化问题,希望对大家有帮助！-Chaotic particle swarm optimization algorithm for solving unconstrained optimization problems, I hope it can help you!
LinWPSO
- 用线性递减权重粒子群优化算法求解无约束优化问题,希望对大家有帮助！-With a linear gradient weight of particle swarm optimization algorithm for solving unconstrained optimization problems, I hope it can help you!
matlabnerve
- matlab神经网络，基因算法和粒子群优化算法-Matlab neural network, genetic algorithm and particle swarm optimization algorithm
PSO-SVM
- 粒子群优化算法优化支持向量机（PSO-SVM)-Particle swarm optimization algorithm optimize the SVM
PSO_CO
- 一种改进的粒子群优化算法，作用是避免算法过早收敛-An improved particle swarm optimization algorithm, is to avoid premature convergence algorithm
psoSVM
- 利用粒子群优化算法优化支持向量机的惩罚参数Cg，提高效率、准确率。-Particle swarm optimization algorithm to optimize SVM penalty parameter Cg, improve efficiency and accuracy.
PSO
- 粒子群优化算法的寻优算法—非线性函数的极值优化-The optimum algorithm of particle swarm optimization algorithm, the extremal optimization of nonlinear functions
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
chapter15_PSO
- svm 的参数优化，利用pso(粒子群优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能-Svm parameter optimization, the use of pso (particle swarm optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better impr
PID-control
- 各种PID控制源代码，包括神经网络、粒子群、遗传算法等职能算法的PID控制。(Various PID control source code, including neural networks, particle swarm, genetic algorithms and other functions of the algorithm PID control.)
基于FPGA改进粒子群优化算法
- 利用权重和差异演化来改进PSO 并在FPGA中实现(Using weight and difference evolution to improve PSO and implement in FPGA)