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: 这个是我自己编写的基于混沌自适应粒子群优化支持向量机用于分类的matlab程序，本程序以心脏病的诊断为例，得出了非常好的效果！主要贡献在于解决了支持向量机参数人为选取随意性大且效果好坏不稳定的难题！-This is what I have written based on adaptive chaotic particle swarm optimization of support vector machine for classification of matlab procedures, the procedures to diagnose heart disease as an example, draw a very good results! The main contribution is to solve the support vector machine parameters of artificial selection and the effect of arbitrary mixed instability problems! Platform: |
Size: 6144 |
Author:张建 |
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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: 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: 基于混沌的文化粒子群算法有很好的计算精度可以计算多维方程-Chaotic particle swarm optimization and cultural accuracy are very good multi-dimensional equations can be calculated Platform: |
Size: 1024 |
Author:刘征 |
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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: 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: 混沌粒子群寻优算法和各种常见的混沌吸引子程序-Chaotic particle swarm optimization algorithm, and a variety of common chaotic attractor subroutine Platform: |
Size: 2048 |
Author:spark ma |
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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: Cockroach Swarm Optimization
a new bionic algorithm, entitled
Cockroach Swarm Optimization (CSO), that is inspired by the
social behavior of cockroaches. We construct some models by
imitating the foraging behaviors of cockroach, and describe the
steps of CSO. Simulation results illustrate that CSO has
stronger convergence performance and highly-accuracy
optimization results compares with Particle Swarm
Optimization (PSO), Chaotic Particle Swarm Optimization
(CPSO) and Artificial Fish-swarm Algorithm (AFSA). Platform: |
Size: 2048 |
Author:sina valizade |
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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: 针对传统粒子群算法初期收敛较快，而在后期容易陷入早熟、局部最优的特点，提出了一种新的混沌粒子群优化算法-For early traditional PSO algorithm converges faster and easier in the late fall early, optimal local characteristics, we propose a new chaotic particle swarm optimization Platform: |
Size: 778240 |
Author:DL |
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Search - Chaotic Particle Swarm Optimization