Description: 利用互信息法求得混沌时间序列相空间重构最优化时延的Matlab程序-use of mutual information obtained chaotic time series reconstruction phase space optimization procedures Matlab Delay Platform: |
Size: 16513 |
Author:胡维刚 |
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Description: 基于Cao方法求得混沌时间序列相空间重构的最优化嵌入维的Matlab程序-Cao method, based on the chaotic time series reconstruction phase space optimization of the embedded peacekeeping procedures Matlab Platform: |
Size: 47026 |
Author:胡维刚 |
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Description: 变尺度混沌优化(MSCOA)是一种改进的混沌优化方法(COA)，利用混沌运动的内在随机性、遍历性和规律性进行全局寻优。-Mutative scale chaos optimization (MSCOA) is an improved chaos optimization algorithm (COA), the use of chaotic motion of the inherent randomness, ergodicity and regularity for global optimization. Platform: |
Size: 297984 |
Author:xiaofang |
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Description: This program is an M-file of Chaotic version of Particle Swarm Optimization method. Platform: |
Size: 191488 |
Author:Mehran Ahmadlou |
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Description: 使用ITK的，可用于图像配准的混沌优化算法。使用的是ITK的平移变换和最小均方差metric-Can be used for image registration of Chaos Optimization Algorithm Platform: |
Size: 5120 |
Author:朱晞颜 |
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Description: OPF by Chaotic Optimization-to solve the optimal power flow problem by chaotic optimization Platform: |
Size: 130048 |
Author:Sun Chi Long |
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Description: 粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。-PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iterative optimization tools. This document provides basic particle swarm algorithm, with a compression factor of the particle swarm algorithm, particle swarm optimization order, second order oscillating particle swarm algorithm, the weight particle swarm algorithm, chaotic particle swarm algorithm, based on hybrid particle swarm algorithm, based on Simulated annealing particle swarm optimization MATLAB source code. Platform: |
Size: 16384 |
Author:熊杰 |
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Description: 一种混沌粒子群嵌入优化算法及其仿真Embedded in a chaotic particle swarm optimization algorithm and simulation-Embedded in a chaotic particle swarm optimization algorithm and simulation Platform: |
Size: 55296 |
Author:shouji1023 |
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Description: 将离散约束优化问题转化为非负整数约束规划问题，开发求解该问题的离散差分进化算法。该算法采用基于混沌映射
的种群初始化、双版本变异和带随机扰动项的取整运算等新策略。针对非线性约束条件，给出惩罚基数的计算方法和连续映
射基函数的表达式，在此基础上设计处理非线性约束的自适应惩罚因子。提出一种刻画种群多样性的新测度——种群二次平
均基因距离及基于新测度的依概率混沌移民算子。将自适应罚函数法、依概率混沌移民操作与离散差分进化算法有机融合，
构造面向工程约束优化的混合离散差分进化算法。对 3 个离散约束优化实例进行验证，结果表明，混合算法具有良好的鲁棒
性且优于离散粒子群算法。应用混合算法求解斜齿圆柱齿轮传动优化设计问题，结果优于遗传算法及其改进算法、离散粒子
群算法，目标函数值较遗传算法及其改进算法分别下降41 和10-The constrained discrete optimization (CDO) is transfor med into a nonlinear constrained non-negative integer
programming (CNIP) which can be solved by the proposed discrete differential evolution (DDE) algorithm that adopts several
improvements such as the chaotic initialization of a population, the double-scheme mutation, and the integrating operator with
stochastic perturbation. Aiming at the nonlinear constraints, th e calculating approaches for the base penalty and the formula f or the
base function of continuous mapping are carried out, and self-adaptive penalty factors based on these notions for handling cons traints
are presented. It is studied that a novel measure, termed as a quasi re-averaging gene distance for a population, is employed t o depict
the diversity of the population and chaotic immigration operato rs depending on this measure a nd the probability are implemented to
preserve the population diversity. Orientating constrained engineering optimizati Platform: |
Size: 927744 |
Author:吴胜亮 |
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Description: 该程序是混沌粒子群苏算法的代码，修改参数就可以用。-The program is chaotic particle swarm the Su algorithm the code can modify the parameters. Platform: |
Size: 1024 |
Author:刘明 |
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Description: 混沌粒子群优化（CPSO, Chaos Particle Swarm Optimization）算法融合了PSO算法的快收敛和CO算法的遍历随机等特点，在PSO算法每一代挑选出的最优解附近的区域里，用混沌算法进一步搜索，防止其陷入局部最优值，从而改进了PSO算法的不足，成为一种高效的优化算法。-Chaotic Particle Swarm Optimization (CPSO, Chaos Particle Swarm Optimization) algorithm combines the features of the PSO algorithm fast convergence and CO traversal algorithm randomly each generation in the PSO algorithm selected area near the optimal solution, further chaos algorithm search prevent it from falling into local optimal value, thus improving the deficiencies of the PSO algorithm, an efficient optimization algorithm. Platform: |
Size: 176128 |
Author:韩晶晶 |
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Description: Optimal Placement of Unified Power Flow Controllers in Electrical Power Systems for
Maximize the Loadability of Transmission Lines Using Chaotic Optimization Algorithm Platform: |
Size: 143360 |
Author:navid |
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Search - chaotic optimization