搜索资源列表
GODLIKE
- 遗传算法与模拟退火,粒子群算法的结合与比较实验.稍微修改就可以学习应用-Genetic algorithms and simulated annealing, particle swarm optimization algorithm and comparison with experiment. A slight modification can learn the application of
GAPSO
- 这个算法是遗传算法和粒子群优化算法相互结合的matlab程序，优化效率提高很多，不会陷入局部最优-This algorithm is a genetic algorithm and particle swarm optimization algorithm combined with each other matlab program, optimizing the efficiency a lot and will not fall into local optimum
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
pso-simulation
- 粒子群优化算法的源程序代码，其中结合了遗传算法进行优化。-Particle swarm optimization algorithm source code, which combines the genetic algorithm optimization.
GA-PSO
- 遗传算法结合粒子群算法的例子，采用matlab编程-Particle swarm optimization with genetic algorithms example, using matlab programming
GAPSO
- 结合遗传算法和粒子群算法的MATLAB程序M文件-M-file MATLAB program combined with genetic algorithm and particle swarm optimization
GAPSO
- 遗传算法与粒子群算法结合对参数进行优化选择，达到最后结果-Genetic algorithm and particle swarm optimization algorithm to the parameters combine to achieve the final result
GA_PSO
- GA_PSO为GA和PSO混合的优化算法,粒子群算法与遗传算法结合-GA_PSO optimization algorithm for mixed GA and PSO, PSO and Genetic Algorithm
matlab
- 很全的智能算法，包括粒子群算法、模拟退火算法、遗传算法、TSP问题求解、蚁群算法、人工神经网络算法以及相关结合算法-A full of intelligent algorithm, including the particle swarm algorithm, simulated annealing algorithm, genetic algorithm, the TSP problem, ant colony algorithm, and the combination of artific
matlab--suanfa25li
- 压缩包内有25例有关遗传算法、粒子群、模拟退火、以及相关算法的结合，并有大量例子，希望能帮到各位。-Compressed packages have combined 25 cases of genetic algorithms, particle swarm, simulated annealing, and related algorithms, and there are plenty of examples, we hope to help you.
GA_PSO
- 遗传算法和二进制粒子群算法相结合，使遗传算法过早收敛的情况得到改善-The combination of genetic algorithm and binary particle swarm optimization algorithm, the premature convergence of genetic algorithm is improved.
teacher-and-learn
- 教与学优化算法，和结合粒子群算法、遗传算法比较，该算法效果更好，迭代次数少-Teaching and learning optimization algorithm, and combining particle swarm optimization, genetic algorithm, the algorithm is better, fewer iterations
粒子群算法源代码
- 改进的粒子群算法，与遗传算法，神经网络，模拟退火等算法相结合(An improved particle swarm optimization algorithm combined with genetic algorithm, neural network, simulated annealing algorithm and so on)
kriging
- 改进的粒子群优化克里金模型，普通的克里金模型MATLAB数据包与遗传算法的结合(Improved particle swarm optimization model of Kriging, Kriging model MATLAB data packet and genetic algorithm combined with the general of the)
abtzu
- 粒子群算法与遗传算法的结合研究,值得参考！()
mie
- 与遗传算法结合，处理异常方程组，，，，，，，，，，(Combining with genetic algorithm to deal with abnormal equations)