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Description: 基于混沌扰动算法来解决pso算法早熟问题，并用二者结合来训练灰色预测模型参数-Perturbation algorithm based on chaotic PSO algorithm to solve the early problems and to train with a combination of both gray prediction model parameters
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Size: 3072 |
Author: 梁锦兆 |
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Description: 利用logistic混沌搜索方法对传统粒子群进行该进，并用于多目标决策-The use of logistic chaotic search method for carrying out the traditional particle swarm into, and used for multi-objective decision making
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Size: 3072 |
Author: 毛毛 |
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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
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Size: 343040 |
Author: 毛毛 |
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Description: 基于混沌扰动算法来解决pso算法早熟问题，并用二者结合来训练灰色预测模型参数-Perturbation algorithm based on chaotic algorithms to solve the pso early-maturing issues, and to use a combination of both to train the gray prediction model parameters
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Size: 3072 |
Author: yinjj |
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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.
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Size: 16384 |
Author: 熊杰 |
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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
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Size: 745472 |
Author: 吴胜亮 |
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Description: 详细介绍了混沌粒子群算法，并且进行程序的编写，里面还有7篇混沌粒子群的论文-Detailed introduces the chaotic particle swarm algorithm, and the writing of the procedures, inside still have 7 article chaotic particle group of papers
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Size: 8645632 |
Author: lin |
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Description: 文件包括带压缩因子的粒子群算法，权重改进的粒子群算法，自适应权重法，随机权重法，变学习因子的粒子群算法，异步变化的学习因子，二阶粒子群算法，二阶振荡粒子群算法，混沌粒子群算法，混合粒子群算法，杂交粒子群算法，模拟退火算法-File with compression factor of the particle swarm algorithm, the weight to improve particle swarm optimization, adaptive weighting method, the random weighting method, particle swarm optimization variable learning factor, learning factor of asynchronous change, the second-order particle swarm optimization, second-order oscillating particle swarm algorithm, chaotic particle swarm optimization, hybrid particle swarm optimization, hybrid particle swarm optimization, simulated annealing algorithm
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Size: 8192 |
Author: 王觅蕤 |
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Description: 改进的粒子群优化算法，加入了混沌序列，增强了寻优能力。-Improved particle swarm optimization, joined the chaotic sequence, enhanced optimization capabilities.
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Size: 1024 |
Author: 谭雨林 |
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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.
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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).
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Size: 2048 |
Author: sina valizade |
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Description: 一种改进的混沌算法，结合粒子群进化进行改进-An improved chaotic particle algorithm to improve the diversity of PSO
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Size: 1024 |
Author: 田颖 |
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Description: 一种改进的混沌算法，结合进化算法进行改进,利用logistic映射进行改进-An improved chaotic particle algorithm to improve the diversity of PSO
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Size: 1024 |
Author: 田颖 |
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Description: File with compression factor of the particle swarm algorithm, the weight to improve particle swarm optimization, adaptive weighting method, the random weighting method, particle swarm optimization variable learning factor, learning factor of asynchronous change, the second-order particle swarm optimization, second-order oscillating particle swarm algorithm, chaotic particle swarm optimization, hybrid particle swarm optimization, hybrid particle swarm optimization, simulated annealing algorithm
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Size: 9216 |
Author: eaclicker |
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Description: 带混沌扰动的PSO算法，应用到图像二阈值分割-PSO algorithm with chaotic disturbance applied to the image threshold segmentation II
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Size: 2048 |
Author: 虾皮 |
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Description: 各种粒子群或改进型粒子群算法
1）粒子群优化算法(求解无约束优化问题)
1>PSO(基本粒子群算法)
2>YSPSO(待压缩因子的粒子群算法)
3>LinWPSO(线性递减权重粒子群优化算法)
4>SAPSO(自适应权重粒子群优化算法)
5>RandWSPO(随机权重粒子群优化算法)
6>LnCPSO(同步变化的学习因子)
7>AsyLnCPSO(异步变化的学习因子)(算法还有bug)
8>SecPSO(用二阶粒子群优化算法求解无约束优化问题)
9>SecVibratPSO(用二阶振荡粒子群优化算法求解五约束优化问题)
10>CLSPSO(用混沌群粒子优化算法求解无约束优化问题)
11>SelPSO(基于选择的粒子群优化算法)
12>BreedPSO(基于交叉遗传的粒子群优化算法)
13>SimuAPSO(基于模拟退火的粒子群优化算法)
-Various PSO or improved particle swarm algorithm
1) Particle Swarm Optimization (unconstrained optimization problems)
1> PSO (PSO)
2> YSPSO (PSO algorithm to be compression factor)
3> LinWPSO (linearly decreasing weight particle swarm optimization)
4> SAPSO (adaptive weight particle swarm optimization)
5> RandWSPO (random weight particle swarm optimization)
6> LnCPSO (synchronous changes in learning factor)
7> AsyLnCPSO (asynchronous learning factor changes) (algorithm also bug)
8> SecPSO (particle swarm optimization algorithm with a second-order problem solving unconstrained optimization)
9> SecVibratPSO (with a second-order oscillating particle swarm optimization algorithm for solving constrained optimization problems five)
10> CLSPSO (chaotic particle swarm optimization algorithm for solving unconstrained optimization problems)
11> SelPSO (selection-based particle swarm optimization)
12> BreedPSO (genetic optimization algorithm based
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Size: 9216 |
Author: wyf |
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Description: 混沌粒子群算法预测年龄，内容包括预测试用的数据，可以直接运行，方便修改-chaotic particle swarm optimization algorithm
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Size: 3072 |
Author: 常建芳 |
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Description: 混沌粒子群算法用于图像分割，程序已调试好，并用多种图像提供使用。分割效果显著。-Chaotic particle swarm optimization algorithm for image segmentation, the program has been debugged, and use a variety of images available. Segmentation effect is remarkable.
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Size: 1288192 |
Author: wangyawen |
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Description: 混沌粒子群CPSO，内附混沌粒子群的相关理论和改进的论文(Chaotic particle swarm CPSO, the related theory of chaotic particle swarm and the improved thesis)
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Size: 8645632 |
Author: JWzONE |
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Description: 用二阶振荡粒子群优化算法、混沌粒子群优化算法、基于选择的粒子群优化算法、基于交叉遗传的粒子群优化算法、基于模拟退火的粒子群优化算法求解无约束优化问题(Second order oscillation PSO, chaotic particle swarm optimization algorithm, particle swarm optimization, genetic optimization algorithm based on cross particle swarm optimization algorithm based on simulated annealing Particle Swarm unconstrained optimization problems)
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Size: 4096 |
Author: Lilith |
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