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chapter10
- 基于matlab的微粒群优化算法解决多目标的问题。-Matlab-based particle swarm optimization algorithm to solve the multi-objective problem.
neidian
- 采用切线逼近方法求解IEEE14节点电力系统多目标的无功优化问题,目标为发电机无功总出力和网损。-IEEE14 node power system the tangent approximation method for solving multi-objective reactive power optimization problem, the goal for the total output of generator reactive and net loss.
PSO
- 经典粒子群算法,经过多次优化,演示出图, 待优化的目标函数:N 粒子数目:N 惯性权重:w 学习因子:c1,c2 最大迭代次数:M 问题的维数:D 目标函数取最小值时自变量值:xm 目标函数的最小值:fv-Classical particle swarm algorithm, optimized for many times, demonstrates plotting objective function to be optimized: N of
dsad
- :智能算法如粒子群算法已被应用于PID控制器的参数优化,以弥补传统优化方法容易产生振荡和较大超调量 的不足,但是粒子群算法存在易于早熟的缺点,在分析量子粒子群算法的基础上,提出了使用量子粒子群算法优化PID控 制器的参数。为了兼顾控制系统的各项性能指标,根据控制器的实际要求对各项指标进行加权作为算法的目标函数,对 PID控制器进行多目标寻优。通过2个传递函数实例,分别使用z—N、粒子群算法和量子粒子群算法进行了PID控制器 参数优化设计,并对结果进行了分析。-Abstract:H
30-cases-in-matlab
- MATLAB智能算法30个案例分析,109页的详细讲解,程序和程序注解,可以直接复制代码。包括遗传算法,基于遗传算法和非线性规划的函数寻优算法,遗传算法工具箱详解及应用,多种群遗传算法的函数优化算法, 基于粒子群算法的多目标搜索算法,基于多层编码遗传算法的车间调度算法,基于遗传模拟退火算法的聚类算法,蚁群算法,支持向量机等等30章。-MATLAB intelligent algorithm 30 case studies, 109 detailed explanations, procedur
Particle
- matlab解决多参数优化问题,已经调通过,可以直接使用。并且目标函数有微分构成。-matlab to solve the multi-parameter optimization problems, have been transferred through, can be used directly. And the objective function differential constitute.
iwo
- 入侵性杂草算法,连续型,多目标,多维函数优化。-invasive weed 0ptimization is a good optimal tools for any continual problem. IWO has been successfully applied to several electromagnetic optimization problems
abc
- 邮政运输网络中的邮路规划和邮车调度 针对邮政物流配送问题建立多目标网络优化模型,通过聚类分析方法化简复杂的邮路网络,并综合运用图论中Floyd、Kruskal、TSP等算法高效快捷地解决该问题。-The postal transport network the Postman planning and Vehicle Management establish a network of multi-objective optimization model for the postal logist
MATLAB-Optimization-Toolbox
- 文件是一个Matlab优化工具箱,主要内容是线性规划模型、非线性规划模型、二次规划模型、多目标规划模型和最大最小化模型。-The file is a Matlab optimization toolbox, the main content is a linear programming model, nonlinear programming model, quadratic programming model, a multi-objective programming model and
MATLAB-Optimization
- 主要描述Matlab优化实例。主要包括线性规划问题、foptions函数、非线性规划问题、“半无限”有约束的多元函数最优解、极小化极大(Minmax)问题、多目标规划问题、最小二乘最优问题和非线性方程(组)求解。-The main descr iption Matlab optimization instance. Mainly include linear programming problem, function foptions, nonlinear programming problem
Multi-objective-particle-swarm
- 多目标粒子群优化算法 多目标粒子群优化算法 多目标粒子群优化-Multi-objective particle swarm optimizationMulti-objective particle swarm optimizationMulti-objective particle swarm optimization
GA
- 对传统的MATLAB遗传算法工具箱进行改进,对优化变量由单变量扩展到多变量,同时目标函数也由单目标函数扩展到多目标函数。-The traditional MATLAB genetic algorithm toolbox to improve the optimization variables by a single variable expansion to multiple variables, but also by a single objective function objectiv
YICHUANSUANFA
- 基于遗传算法的多目标函数优化在matlab中的实现,主要内容就是源代码-Based on genetic algorithm for multi-objective optimization in matlab to achieve, the main content is the source code
GA
- GA多目标的优化算法,对工业机器人的公差分配进行优化-GA multi-objective optimization algorithm for industrial robots tolerance allocation optimization
Genetic-Algorithm
- 本例应用遗传算法实现了对于一些非线性、多模型、多目标的函数优化问题,用其它优化方法较难求解,而遗传算法可以方便的得到较好的结果。-In this case the genetic algorithm is applied to implement for some nonlinear, model, multi-objective function optimization problem, with other optimization methods are difficult to sol
cpso
- 提出多目标混沌粒子群优化算法并应用于机器人足球防守策略之中。在对方多名队员进攻情况下,通过该策略引导我方队员防守跑位,并选取我方位置最佳队员对对方主攻队员进行截球,从而达到成功防守的目的。-A robot soccer defensive strategy based on multi-objective chaotic particle swarm algorithm is proposed. When two or more opponents attack,
GS_CH_MOPSO_Grey
- 多目标非线性约束的粒子群算法,采用灰度理论,混沌理论,动态惩罚函数,可针对任何复杂函数进行优化,效果很好-Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, the effect is very good
evaluation
- 2012年cvpr上面的一篇论文的研究结果,实现的是多目标跟踪的离散连续优化。-2012 cvpr paper above findings, the realization of the multi-target tracking discrete continuous optimization.
contracking-v1.0
- 2012年的一篇关于多目标跟踪的离散连续优化的论文的相关程序,此程序是论文源程序的前一个版本,用来和论文中的程序进行对比。-2012 article on multi-target tracking discrete continuous optimization of papers related program, this program is a previous version of the source papers, and papers used in the program we
dctracking-v1.0
- 2012年的一篇关于多目标跟踪的离散连续优化的论文的源程序,不过运行结果和论文的实验结果有点出入,主要是论文中的程序作者进行了修改。-2012 article on multi-target tracking discrete continuous optimization of the papers of the source, but the results and the paper is quite different from the experimental results, mai