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差别算法matlab源码
- 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似,是一种基于叠代的优化工具。系统初始化为一组随机解,通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较,PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化,神经网络训练,模糊系统控制以及其他遗传算法的应
多种实用算法源代码
- 包括蚁群算法、神经网络、粒子群算法、模拟退火、遗传算法等
Code_MATLAB_Optimization
- 这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱,代码包含的内容有:牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。-This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file)
PID
- PID类的仿生算法文章。有遗传算法、粒子群算法、细菌觅食算法、鱼群算法。-PID class bionic algorithm article. A genetic algorithm, particle swarm optimization, bacteria foraging algorithm, fish algorithm.
pso_vcpp
- 粒子群算法 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation),有 Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究PSO同遗传算法类 似,是一种基于叠代的优化工具。系统初始化为一组随机解,通过叠代搜寻最优 值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在 解空间追随最优的粒子进行搜索。-pso 粒子群优化算法(PSO)是一种进化计算技术(evolutionary
pso
- 粒子群优化(Particle Swarm Optimization - PSO) 算法是一种新兴的有潜力的进化算法( Evolutionary Algorithm - EA) .PSO 算法,和遗传算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质. 但是它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作. 它通过追随当前搜索到的最优值来寻找全局最优。-pso
Intelligentapplicationofthealgorithms
- 智能化算法的应用,介绍了各种智能算法的概况,详细介绍了蚁群算法、免疫算法、遗传算法、粒子群算法在配电网重构中的应用,可以管中窥豹地学习智能算法在具体问题中的应用-The application of intelligent algorithms, introduced an overview of the various intelligent algorithms, detailed information on ant colony algorithm, immune algorithm,
pso_base
- 本程序基于粒子群算法实现函数的寻优过程,粒子群算法实现简单,程序效率高,在现在智能算法中有广泛的应用。-The program is based on particle swarm optimization process to achieve the function of the particle swarm algorithm is simple, efficient procedures, in the present intelligent algorithm has a wide r
Ackely
- Ackley函数的粒子群优化算法的实现,对初学粒子群算法的有用-Ackley function of the particle swarm optimization algorithm, particle swarm optimization for beginners useful
IOA
- 一篇关于智能优化调度的博士论文,其中包括对蚁群、遗传、粒子群等多种算法的研究-Intelligent Scheduling an article about the doctoral thesis, including ant colonies, genetic, and other particle swarm algorithm
abcbees
- 蜂群算法研究综述,蜂群算法是一种模仿蜜蜂繁殖采蜜等行为的新兴的群智能优化技术,并分析比较了遗传算法蚁群算法粒子群算法和蜂群算法的优缺点适用范围及性能。-Colony algorithm in, a algorithm is a kind of imitation breeding honey bees in the behavior such as emerging group of intelligent optimization technology, and compares the an
intelligent_algorithm
- 求函数全局最大值的遗传算法、蚁群算法和粒子算法。智能算法绝好的入门材料。-Global maximum of a function of genetic algorithm, ant colony algorithm and particle algorithm. Excellent introductory material on intelligent algorithm.
Particle-Swarm-Optimization
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题;用基于模拟退火的粒子群优化算法求解无约束优化问题-Based on the cross with a genetic particle swarm optimization algorithm for solving unconstrained optimization problems using simulated annealing particle swarm optimization algorithm for solving unc
intelligence-algorithm
- 本程序为智能算法。遗传,粒子群,鱼群,蚁群等多种算法。以及一些实际案例-This program is intelligent algorithms. Genetic, particle swarm, fish, ant colony and many other algorithms. As well as some actual cases
BreedPSO
- BreedPSO:用基于交叉遗传的粒子群优化算法求解无约束优化问-BreedPSO: Cross with genetic-based particle swarm optimization algorithm for solving unconstrained optimization problem
GAPSO
- 遗传和粒子群算法的多目标例程,用了几个测试函数,效果还不错-Inheritance and multi-objective particle swarm optimization (pso) routines, used several test functions, the effect is good
GA & PSO+BP
- 遗传算法与粒子群算法优化BP,有较好的分类效果(BP optimization based on Genetic Algorithm and particle swarm optimization)
算法优化
- 针对减速器的设计,利用多种启发式的优化算法进行设计,不同于常规的工程最优化方法。(For the design of the reducer, a variety of heuristic optimization algorithms are used for design, which is different from conventional engineering optimization methods.)
遗传粒子群优化算法-GAPSO
- 混沌粒子群优化算法,及其该算法的简单应用(A SIMPLE IMPLEMENTATION OF THE PARTICLE SWARM OPTIMIZATION)
GA-PSO
- PSO算法计算函数极值时,常常出现早熟现象,导致求解函数极值存在较大的偏差,然而遗传算法对于函数寻优采用选择、交叉和变异算子操作,直接以目标函数作为搜索信息,以一种概率的方式来进行,因此增强了粒子群优化算法的全局寻优能力,加快了算法的进化速度,提高了收敛精度。(When PSO algorithm calculates function extremum, it often appears premature phenomenon, which leads to large deviation