搜索资源列表
jfc
- 利用蚁群算法,智能优化算法解方程,对于初学者作为练习使用。-By ant colony algorithm, the intelligent optimization algorithm solving equations as an exercise for beginners to use.
Ant-colony-algorithm
- 蚁群算法优化计算。多个路径中选择最优路径,来确定最优计算顺序-Ant colony optimization algorithm. Multiple paths, select the optimal path to determine the optimal calculation sequence
TSP1
- DSP.蚁群算法来解决最短路径问题,在电力系统优化问题 -algorithm to solve the shortest path problem, the optimization problems in power system
antcolony1111
- 蚁群算法优化连续函数,值得学习学习 带注释的-Ant colony algorithm to optimize continuous functions, it is worth learning learning annotated
successful-program
- 蚁群算法优化BP神经网络,已运行,良好,简单-Ant colony algorithm to optimize BP neural network has been running good, simple
Ant-colony-
- 连续优化问题如(Schaffer函数)的蚁群算法源码和图像-Continuous optimization problems such as (Schaffer the function) ant colony algorithm source code and images
ant-colony-optimization
- TSP问题蚁群算法,是一种用来在图中寻找优化路径的机率型算法。-The TSP problem ant colony algorithm is used to find the probability of the optimal path algorithm in the figure.
ESDA
- 无线传感器网络覆盖 基于蚁群算法的覆盖问题,优化算法应用-Wireless sensor network coverage coverage problem based on ant colony optimization algorithm is applied
A-Novel-Improved-Ant-Colony-Algor
- :在介绍基本蚁群算法原理的基础上,对其作了许多改进以提高其全局优化寻优速度,并给出了 详尽的新算法编程仿真实现步骤,最后将未改进的基本蚁群算法与本文改进后的蚁群算法分别应用于TSPLIB中的Att532 P问题进行了仿真实验-Abstract:Firstly.the principle of basic ant colony algorithm (ACA)is introduced.Then.a series of schemes to improve the global optimi
Research-on-Some-Novel-Bionic-Opt
- :仿生优化算法是模拟自然界中生物行为的随机搜索算法,可以用来解决现实中的许多优化问题。简要介绍了目前比 较流行的四种新型仿生优化算法(蚁群算法、微粒群算法、人工免疫算法以及人工鱼群算法)的基本原理;然后深入分析了这 些仿生优化算法的异同之处-Bionic optimization algorithms aye stochastic search methods that mimic the natural biological behavior of species.They age
Ant-Colony-Algorithm-Based
- 提出一种基于启发式变异的蚁群算法,结合传统蚁群算法和遗传变异算法的优点,利用蚁群算法找到一条全局近优解,采用启发式变异进行路径优化,并将优化信息以信息素的方式传递给下一代,从而快速得到全局最优解-】This paper proposes an Ant Colony Algorithm based on Heuristic Mutation(ACAHM), combining with the advantage of the traditionalAnt Colony Algorithm(ACA
ant
- 蚁群算法是经典的优化智能算法,能找到的最短路径。-The ant colony optimization algorithm is the classic intelligent algorithm can find the shortest path.
ACO-for-MCM
- 蚁群算法用于MCM基板互连测试的单探针路径优化研究-Path optimization study of ant colony algorithm is used to the MCM substrate interconnect test probe
Ant-colony-algorithm-Matlab-program
- 无约束连续函数优化的人工蚁群算法通用MATLAB源码 -The general MATLAB source of unconstrained artificial ant colony algorithm for continuous function optimization
ACO-PID
- 此函数实现蚁群算法,用于PID控制参数优化-The function realization of ant colony algorithm for PID parameters optimization
1
- 智能优化算法作为新兴的搜索算法,一般是指利用自然界的生物系统与优化过程的某些相似性而逐步发展起来的优化算法,如遗传算法、粒子群算法、蚁群算法等,它们通过对搜索空间中的一组解按概率规则操作得到下一组解。 人工鱼群算法源于对鱼群运动行为的研究,是一种新型的智能仿生优化算法。它具有较强的鲁棒性、优良的分布式计算机制、易于和其它方法结合等优点。目前对该算法的研究、应用已经渗透到多个应用领域,并由解决一维静态优化问题发展到解决多维动态组合优化问题。 -As an emerging intell
aco
- 基于蚁群算法matlab无功优化 可以参考-Ant colony algorithm matlab Reactive Power Optimization
multi-Ant
- 多目标优化 蚁群多目标优化算法 用于连续变量参数优化-multi Ant
KrigingAnt21
- 利用Kriging拟合数据后,利用蚁群算法进行优化,需添加Dace工具包-Ant algorithm
MLSANTGA
- 利用移动最小乘法近似拟合数据,再用蚁群算法进行优化-Ant algorithm