搜索资源列表
benchmarks_test_pso
- 粒子群算法(pso)标准测试函数验证程序。在一个m文件中包括了目前文献中用于验证的7个标准测试函数(Ackley等)、三维动态显示，粒子过分集中时打散等功能。旨在为学习和研究者pso算法的同仁提供一个功能较为完备、简单易懂的标准版本，对于初学者可以通过此程序快速的实现入门，以便将更多的精力投入到深层次的研究中去！同时愿与所有致力于此的朋友共同探讨pso算法的改进与应用方面(如多目标、动态系统等)的经验。-PSO algorithm (PSO) standard test function ver
psomatlabprograme
- 一种混沌粒子群算法源程序。并附带几个测试函数。非常实用！
AWPSO
- 用matlab编程自适应粒子群算法解ZDT测试函数
Rastrigrin matlab平台下的测试函数Rastrigrin
- matlab平台下的测试函数Rastrigrin，对于用来测试粒子群、遗传等智能算法的性能非常有用-matlab platform test function Rastrigrin, used to test for the PSO, the performance of genetic algorithms and other useful intelligence
QPSO 采用matlab语言描述的量子粒子群算法
- 采用matlab语言描述的量子粒子群算法，并附有一些测试函数-Using matlab language to describe the quantum particle swarm algorithm, along with some test function
awpso1
- 用matlab编程使用粒子群算法解决ZDT测试函数-Programming with matlab using particle swarm algorithm to solve the test function ZDT
power-system-problem-based-on-PSO
- 利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization
spso
- 这个是用基本粒子群优化算法解两个测试函数的最小值问题。-This is a fundamental particle swarm optimization algorithm using two test function solution of the minimum problem.
Schaffer
- 基于MATLAB编程的粒子群算法，测试函数为shaffer-MATLAB programming based particle swarm algorithm, test function shaffer
pso
- 用于实现粒子群算法的matlab工具包，带有一些测试函数-particle swarm optimization toolbox for matlab
GOLDSTEIN
- Matlab有关改进的PSO算法程序基于三种惯性参数改进的粒子群算法程序,并使用测试函数Goldstein进行结果比较-Matlab program for improving the PSO algorithm is based on three inertial parameters improved particle swarm optimization program and use the results of the test functions were compared Gold
pso1bianfangxiang
- 粒子群算法的改进，粒子在搜索过程中，适应值大的部分粒子，运动方向反方向运动，扩大了搜索范围，避免早熟。通过函数测试可用。-Particle swarm algorithm, part of the particle motion direction opposite direction, expanding the scope of the search to avoid premature. Through function test available.
benchmark
- 该函数由于遗传算法，粒子群算法等各类测试，可以很好地对你所编程序进行评估，以验证你提出的算法的合理性-Function due to genetic algorithms, particle swarm optimization, and other tests can be well on your programmed assessment, to verify the rationality of the proposed algorithm
QPSO
- 量子粒子群算法，测试函数，人工智能，多目标优化-Quantum particle swarm ，function test，Artificial intelligence, multi-objective optimization
Particle
- 这是自己设计编写的多目标粒子群算法主程序，经过多个函数的测试时有用的，希望对各位有帮助-It is designed and written their own multi-objective particle swarm algorithm main program, useful when multiple function test, and you want to help
main
- 这是多目标粒子群算法的源程序，经过过个函数测试，效果较好，希望对大家有所帮助-This is a multi-objective particle swarm algorithm source code after the function test, the better, we want to help
Particle-swarm-optimization
- 粒子群算法 函数对于适应度函数fitness对其参数，，做出不同方式的比较已测试其对函数结果影响。-Particle swarm optimization
Qpso_test
- 量子粒子群算法源码（对应须文波、孙俊等人的论文）带测试函数-Quantum particle swarm algorithm source code (corresponding Wenbo, SUN Jun et al paper) with test function
PSO
- 粒子群算法改进程序和一些测试函数的编写比原算法比较好(The improvement program of particle swarm optimization and the writing of some test functions are better than those of the original algorithm)
PSO-Sphere
- 粒子群算法，一种智能优化算法，带有测试函数sphere(Particle swarm optimization (PSO), an intelligent optimization algorithm)