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6下载:
细菌觅食随机优化论文及matlab源码。该算法属于进化算法的一种,可以处理全局优化、多目标优化、约束优化和动态优化等问题。,Bacterial feeding stochastic optimization papers and matlab source code. The algorithm belongs to a kind of evolutionary algorithm that can deal with global optimization, multi-objective o
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This thesis aims to clearly describe the cognitive radio and its components and operations. Moreover, it aims on describing the expected outcome from the most common techniques that are proposed for use in cognitive radios. In addition, it describes
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它包含了枚举法、蒙特卡洛法、线性整数规划、整数规划枚举法、整数规划隐枚举法、非线性整数规划、非线性整数规划图形工具、最小生成树kruskal算法、最短路dijkstra算法、最小生成树kruskal算法mex程序、最短路dijkstra算法mex程序和动态规划的代码。-It contains the matlab code of the enumeration method, Monte Carlo method, linear integer programming, integer prog
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动态贝叶斯网络结构学习算法,用来检验基于BOA的DBN结构寻优体系的合理性与可行性。环境matlab 6.1以上-Dynamic Bayesian network structure learning algorithm, the DBN used to test the structure-based optimization BOA system is reasonable and feasible. Environmental matlab 6.1 or above
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These are matlab and simulink files to model the membrane crystallization system, including the matlab file to get the optimation point of this system, and 3 simulink files, which are static model and 2 dynamic models. There has PID control and feed
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粒子群算法工具包,包括动态环境的寻优,还可以直观看到粒子的搜索过程-Particle swarm optimization tool kit, including the dynamic environment of the optimization, you can also see the particles in an intuitive search process
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基于生物免疫系统的自适应学习、免疫记忆、抗体多样性及动态平衡维持等功能,提出一种动态多目标免疫
优化算法处理动态多目标优化问题.算法设计中,依据自适应ζ邻域及抗体所处位置设计抗体的亲和力,基于Pa-
reto控制的概念,利用分层选择确定参与进化的抗体,经由克隆扩张及自适应高斯变异,提高群体的平均亲和力,利
用免疫记忆、动态维持和Average linkage聚类方法,设计环境识别规则和记忆池,借助3种不同类型的动态多目标
测试问题,通过与出众的动态环境优化算法比较,数值实验表明所
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C++语言的最优控制软件,C++语言开发,非常好用-ACADO Toolkit- An Open-Source Framework for Automatic Control and Dynamic Optimization
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a gene
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优化问题分类:(非)线性规划、整数规划、0-1 规划、(多)目标规划、(与时间有关的)动态规划、(系数是随机变量的)随机规划。 -Optimization problem categories: (non-) linear programming, integer programming ,0-1 plan, (multiple) goal programming, (and time-related) dynamic programming, (coefficient is a random
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Matlab车间动态调度PSO微粒群算法程序(优化目标为机器间隙时间)-Matlab Workshop Particle Swarm Optimization PSO dynamic scheduling procedures (optimization target machine clearance time)
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Matlab 车间动态调度 PSO微粒群算法程序(优化目标为平均流动时间)-Matlab Workshop Particle Swarm Optimization PSO dynamic scheduling program (average flow time optimization objectives)
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Matlab 车间动态调度 PSO微粒群算法程序(优化目标为MakeSpan时间)-Matlab Workshop Particle Swarm Optimization PSO dynamic scheduling procedures (optimization target MakeSpan time)
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蚁群算法最短路径通用Matlab程序蚁群算法动态寻路算法-Shortest path algorithm for general ant colony algorithm Matlab program Dynamic Algorithm for Route
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算法大全 全书分30章及2附录(在MATLAB中实现)对常用数学算法进行汇总介绍。
主要包括:线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以
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用基本遗传算法求解一维无约束优化问题
用顺序选择遗传算法求解一维无约束优化问题
用动态线性标定适应值的遗传算法求解一维无约束优化问题
用大变异遗传算法求解一维无约束优化问题
用自适应遗传算法求解一维无约束优化问题
用双切点遗传优化求解一维无约束优化问题
用多变异位自适应遗传优化求解一维无约束优化问题
-The basic genetic algorithm with one-dimensional sequence of unconstrained optimizat
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GSO算法及其改进,其中HGSO是通过与和声搜索算法结合而成,主要用于结构的截面优化、几何优化、动力优化、拓扑优化等,具有收敛速度快,收敛结果好的优点,且其改进算法能摆脱局部最优的缺陷。-GSO algorithm and its improvements, HGSO is through a combination of harmony search algorithm, mainly used to optimize the structure of the cross section, g
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粒子群算法matlab程序代码,自行初始化,2维以下有动态图-Particle swarm optimization matlab program code to initialize itself, the following two-dimensional dynamic map
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ACADO工具包是一个软件环境和算法集自动控制和动态优化。它为直接优化控制提供了多种算法,包括模型预测控制、状态参数估计和鲁棒优化。(ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithm
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DMC:即动态矩阵控制(Dynamic Matrix Control)。是一种基于计算机控制的技术,它是一种增量算法,并基于系统的单位阶跃响应,适用于稳定的线性系统。系统的动态特性中具有纯滞后不影响该算法的直接应用。DMC的控制结构主要由预测模型、滚动优化、误差校正和闭环控制形式构成。(DMC: Dynamic Matrix Control. Is a computer-based technology, it is an incremental algorithm, and based on
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这是使用matlab解决动态优化问题的文献,里面包括若干例子以及相应的matlab代码。(This is the document that uses MATLAB to solve dynamic optimization problems, including several examples and the corresponding matlab code.)
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