Description: 这是一个用C++编写的，关于混沌蚁群优化算法，该算法是一个非常实用的算法，效果非常好-C, prepared on the chaotic ant colony optimization algorithm, which is a very practical algorithm, the effect was very good Platform: |
Size: 7241 |
Author:袁成序 |
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Description: 这是一个用C++编写的，关于混沌蚁群优化算法，该算法是一个非常实用的算法，效果非常好-C, prepared on the chaotic ant colony optimization algorithm, which is a very practical algorithm, the effect was very good Platform: |
Size: 7168 |
Author:袁成序 |
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Description: 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法，是英文-Based on Chaotic Particle Swarm Optimization Algorithm and Simulated Annealing of least squares support vector machine parameters of self-selection method, is in English Platform: |
Size: 343040 |
Author:毛毛 |
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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: 基于SVM的混沌时间序列分析 把SVM优化算法用于混沌时间序列分析 可以得到优于一些方法的结果-SVM-based chaotic time series analysis of the SVM optimization algorithm for chaotic time series analysis methods can be superior to the results of Platform: |
Size: 266240 |
Author:付赛男 |
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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: 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: 针对多峰函数优化问题，借鉴混沌遍历特性和免疫网络理论，提出一种免疫混沌网络算法。算法利用混沌运动的自身规律在不同的峰值区域内搜索最佳抗体，增强了算法的局部搜索能力；采用网络抑制策略，保持了种群的多样性；通过网络补充机制自适应地调节抗体群的规模，提高了算法对不同类型多峰函数的适应能力。仿真结果表明该算法能有效地改善种群的多样性，较好地保持全局搜索和局部搜索的动态平衡，具有更强的多峰函数优化能力-Referred to the ergodicity of chaos and immune network theory, an immune chaotic network algorithm for
multimodal function optimization was proposed. The rule of chaotic motion was used to search the best antibodies in different peak regions in order to enhance the capacity of local search. The strategy of network suppression was adopted to maintain the diversity of population. Under the action of network supplement mechanism, the scale of antibody population was adjusted to adapt different types of multimodal function. Simulation results show that the algorithm can not only improve population diversity effectively, but also keep the dynamic balance between global search and local search well. Therefore, it has excellent optimization performance to multimodal function. Platform: |
Size: 1095680 |
Author:崔冰 |
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Description: 针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷
入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。
该方法考虑了图像中像素点灰度 邻域灰度均值对作为阈值对图像进行分割 利用混沌运
动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜
索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索
时间, 提高了收敛率。-Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method
Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm.
The method takes into account the image pixel the gray neighborhood average gray value as a threshold for image segmentation chaotic transport
Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search
On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search
Time and improve the convergence rate. Platform: |
Size: 1820672 |
Author:张泰然 |
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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: 针对工程优化设计问题,提出了基于混沌粒子群算法的工程约束优化问题求解方法。CPSO算法利用混沌搜
索的全局遍历性、随机性和规律性等特点, 引导粒子在全局范围内搜索, 从而克服了传统粒子群算法早熟收敛的缺点。
该算法以种群适应度方差作为粒子群优化算法早熟收敛的判据, 并用惩罚函数法处理违法约束的粒子, 当基本粒子群算
法陷入早熟时, 随机选择粒子群中的部分粒子实施混沌搜索, 直至满足迭代收敛条件为止。CPSO算法能提高种群的多
样性和粒子搜索的遍历性, 从而有效提高了PSO算法的收敛速度和精度。两个工程约束优化实例的求解结果表明,该算
法的优化结果最好, 收敛速度也比较快-Based on engineering design optimization problems, and put forward based on chaotic particle swarm optimization algorithm of engineering problem solving methods. CPSO algorithm by using chaos search
The global ergodicity, stochastic characteristics and regularity, and lead particles in the global scope search, and overcome the traditional particle swarm algorithm premature convergence faults.
In this algorithm, the population fitness variance as the particle swarm optimization algorithm of the criterion of premature convergence, the penalty function method and deal with illegal constraint particles, when basic particle swarm to calculate
Law in early maturity, random selection of particle swarm of these particles implementation chaotic search, until the convergence conditions meet so far. CPSO algorithm can improve the population
Sample sex and particles of searching ergodicity, thus effectively improved PSO algorithm convergence speed and accuracy. Two engineering constraint optim Platform: |
Size: 745472 |
Author:吴胜亮 |
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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: 针对粒子群优化算法稳定性较差和易陷入局部极值的缺点，论文提出了一种新颖的混沌粒子群优化算法。-Particle swarm optimization for the poor stability and ease of getting into local extremum shortcomings, the paper proposes a novel chaotic particle swarm optimization algorithm. Platform: |
Size: 354304 |
Author:冯浩 |
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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 algorithm