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Description: 用JAVA语言编写，包括PSO（Particle swarm optimization, 中文译名为粒子群优化或微粒群算法), DE (Differential evolution, 中文译名为差分进化或差异演化)等算法，有一些不带约束和带约束的算例（如Michelawicz的几个问题）。使用说明见usage.txt、RUNExample.bat和程序中的注释。
-with Java language, including the PSO (Particle swarm optimization, the Chinese translation of PSO or PSO algorithm), DE (Differential evolution, the Chinese translation of the difference or differential evolution evolution) algorithm, a number of non-binding and binding with the examples (such as the several issues Michelawicz ). Use see usage.txt, RUNExample.bat and procedures of the Notes.
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Size: 128000 |
Author: 刘三 |
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Description: 求解离散问题的pso aco 算法，含german信用数据库-Solving the problem of discrete pso aco algorithm, with german credit database
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Size: 158720 |
Author: 许靖 |
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Description: 对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比-Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising operation to restore the image to a peak signal to noise ratio
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Size: 130048 |
Author: 吴琳珠 |
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Description: THIS MATLAB CODE REDUCE THE SPECKLE NOISE IN SAR IMAGE, IT USE WAVELET FILTER THEN USED CASCADE THREE FILTERS IN TIME DOMAIN
(HYBRID TIME AND FREQUENCY DOMAIN).
THIS CODE NEED SOME MODIFICATIONS SINCE THERE ARE SOME PROBLEMS LIKE BY COMPUTE PSNR AND THE WAVELET HAS SOME ERRORS IN COMPUTE THE DE-NOISING
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Size: 1214464 |
Author: same |
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Description: This chapter provides two recent algorithms for evolutionary optimization – well known as particle
swarm optimization (PSO) and differential evolution (DE).
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Size: 1205248 |
Author: regenrentgen |
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Description: L’apparition des algorithmes évolutionistes à fait l’effet d’une bombe dans les domaines de la résolution
de problèmes complexes, et spécialement dans l’optimisation de fonction avec contraintes. L’optimisation
par essaim de particules se présente comme une alternative aux algorithmes génétiques et aux colonies de
fourmis pour l’optimisation de fonctions non-linéaires.
Ce document a pour objet de présenter succinctement l’origine de cette méthode avant d’aborder sa mise
en œ uvre et les réglages de ses paramètres.
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Size: 105472 |
Author: redami |
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Description: 进化计算中的PSO算法，用c++仿真实现-Evolutionary Computation in the PSO algorithm, using c++ Simulation
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Size: 345088 |
Author: yehua |
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Description: 包含GA，DE，PSO算法
以及7种评价函数-Contains GA, DE, PSO algorithm, and seven kinds of evaluation function
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Size: 96256 |
Author: sudan |
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Description: We de ne ve cooperation mechanisms in Particle Swarm Optimisation,
loosely inspired by some models occurring in nature, and based on two quan-
tities: a help matrix, and a reputation vector. We call these ve mechanisms,
respectively, Reciprocity, Vicinity, Kin, Reputation, and Anybody. It ap-
pears that Kin is better than the rest by a slight margin, but needs more
parameters that have to be tuned (mutation and selection). However, Reci-
procity, with less parameters, shows almost equivalent performance. The
appendix gives some details about fair comparison of success rates, and the
concepts of valued topology and chains of information, which may be worth
further investigation.
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Size: 613376 |
Author: 张燕 |
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Description: In this paper, a novel Discrete Particle Swarm Optimization Algorithm
(DPSOA) for data clustering has been proposed. The particle positions and velocities
are defined in a discrete form. The DPSOA algorithm uses of a simple probability
approach to construct the velocity of particle followed by a search scheme to
constructs the clustering solution. DPSOA algorithm has been applied to solve the
data clustering problems by considering two performance metrics, such as TRace
Within criteria (TRW) and Variance Ratio Criteria (VRC). The results obtained by
the proposed algorithm have been compared with the published results of Basic
PSO (B-PSO) algorithm, Genetic Algorithm (GA), Differential Evolution (DE) algorithm
and Combinatorial Particle Swarm Optimization (CPSO) algorithm. The
performance analysis demonstrates the effectiveness of the proposed algorithm in
solving the partitional data clustering problems.
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Size: 195584 |
Author: ali |
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Description: PSO-De jong cod for matlab
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Size: 1024 |
Author: ataei |
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Description: c est un code vectorisé de PSO : vectorised particle swarm optimisation algorithm
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Size: 3072 |
Author: sfifo |
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Description: Proyecto para la asignatura de Sistemas Operativos de 3o de GITT.
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Size: 153600 |
Author: fengzi |
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Description: 差分演化算法，用于求解多峰函数最优解十分有效，最近兴起。和PSO有的一拼-differential evolution algorithm
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Size: 3072 |
Author: 万瑜廷 |
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Description: hybrid GA/PSO
mopso
DE
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Size: 5120 |
Author: boujnah
|
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Description: 标准粒子群算法(PSO)与差分算法(DE)(Particle Swarm Optimization algorithm)
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Size: 6144 |
Author: Kelvinzxc
|
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Description: 差分进化算法(Differential Evolution, DE)是一种基于群体差异的启发式随机搜索算法，该算法是由R.Storn和K.Price为求解Chebyshev多项式而提出的。DE算法也属于智能优化算法，与前面的启发式算法，如ABC，PSO等(DE optimization algorithm)
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Size: 51200 |
Author: cc cc |
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Description: 该程序实现基于DE/PSO/GA的进化算法的数据聚类(The program realizes data clustering based on DE/PSO/GA's evolutionary algorithm.)
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Size: 32768 |
Author: 风儿1993 |
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Description: 改进的差分粒子群算法，并用于求函数极值，程序中分别于DE PSO 蛙跳进行对比，结果显示，改进的差分粒子群更好(The improved Differential Particle Swarm Optimization (DPSO) algorithm is used to find the function extremum. The program is compared with DE PSO frog jump, and the results show that the improved DPSO is better.)
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Size: 3096576 |
Author: 孔OO |
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Description: Este algoritmo es muy usado para la optimizacion de redes electricas
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Size: 1628 |
Author: luiscarlosperezg@yahoo.com |
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