搜索资源列表
ACO-PID
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used in the intelligent algorithm of PID parameter optimization and there are many, such as genetic algorithm, simulated annealing algorithm, pa
afsa
- 基本的人工鱼群算法的整体实现 包含各个鱼群行为-Basic overall implementation contains all the fish behavior of artificial fish algorithm
FSOUCP
- 对人工鱼群算法的一种实现，用于无约束连续函数的优化求解。-Fish Swarm Optimization for Unconstrained Continuous Problem
java
- ：人工鱼群算法，自己编的，比较简单、易懂。注：鱼群算法是一种比较新的仿生算法-Fish improved algorithm
fishswarm
- 鱼群算法，在一片水域中，鱼往往能自行或尾随其他鱼找到营养物质多的地方，因而鱼生存数目最多的地方一般就是本水域中营养物质最多的地方，人工鱼群算法就是根据这一特点，通过构造人工鱼来模仿鱼群的觅食。聚群及追尾行为，从而实现寻优-Fish swarm algorithm, c language programming, in the midst of the waters, the fish tend to fish on their own or trailing other nutrients fo
AFSA
- 超级实用的人工鱼群算法，代码简洁，注释清楚，功能强大。-AFSA super practical, concise code, comments clear and powerful.
36063823afsa2
- 摘 要:在分析人工鱼群算法存在不足的基础上,对人工鱼群算法加以改进,提出了一种改进型人工鱼群算 法。该算法提高了全局搜索能力和收敛速度,并用于求解具有变量边界约束的非线性复杂函数最优化问题。 仿真结果表明,改进后的人工鱼群算法具有精度高、搜索速度快等特点,是一种求解复杂函数全局最优化的智 能算法-Combinatorial optimization problems through the application of artificial fish-swarm algorithm to imi
Work
- 改进型人工鱼群算法，相关论文发表于核心期刊-Improved AFSA, relevant papers published in core journals
AFSFFORmaltab
- matlab运行环境下可以运用人工鱼群算法实现对模型优化的程序-You can use the matlab runtime environment to achieve AFSA model optimization program
example1
- 人工鱼群算法在优化配置中的应用，可以对参数进行优化选择-AFSA applications optimized configuration, you can choose to optimize the parameters
fish
- 人工鱼群算法，一种新型的智能算法，根据鱼的特有行为来寻优-artificial fish
rengongyuqun
- 人工鱼群算法 自己编写 经过测试 适合初学者-AFSA write yourself tested for beginners
gmjafsa
- 人工鱼群算法源代码,最基本的代码。可以很好的理解人工鱼群算法-Afsa is old code
nice
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle
AFSA_best
- 人工鱼群算法，有界面，有寻优函数,寻优效果很好-AFSA, the interface, there optimization function optimization works well
AAFSA
- 人工鱼群算法解决工程问题，寻优效果较好,对实际问题的解决有了新的算法-AFSA solve engineering problems, better optimization, to solve practical problems with the new algorithm
AFSA
- 详细介绍了利用人工鱼群算法解决实际问题的过程，进行建模，并且进行寻优。寻优效果较好-Describes the use of artificial fish swarm algorithm to solve practical problems in the process, modeling and optimization performed. Better optimization
The-improvent-of-AFSA
- 主要介绍了多种改进的人工鱼群算法，并且对人工鱼群算法的发展与改进进行分析与总结-It introduces a variety of improved AFSA, and the development and improvement of AFSA analyze and summarize
AFSA2
- 改进的人工鱼群算法，可以解决高维问题，针对不同的寻优函数，寻优效果不同。50维也可运行良好-Improved AFSA, can solve high dimensional problems, optimization for different functions, different optimization results. 50 Victoria also works well
Solution-of-CR-power-control-by-AFSA
- 人工鱼群算法主函数,主要用于求解约束优化问题。-The main program of AFSA